Pranav Rajpurkar

Research record

201 research publications

Plus 3 patents and 13 meeting abstracts. Google Scholar reports 58,040 citations. Everything on this page is derived from the August 8, 2026 snapshot of the public Scholar profile; the site’s venue rules split that list into publications, patents, and abstracts, which are site categories rather than claims about peer review.

Metrics

Citations
58,040
h-index
55
i10-index
132
Publications
201

Publications by year

Research publications only; patents and abstracts excluded.
2026 32
2025 40
2024 31
2023 27
2022 17
2021 22
2020 8
2019 8
2018 4
2017 4
2016 2
2015 2
2014 1

Most frequent venues

12 most frequent journals and conferences recorded in Scholar; preprints, repositories, and non-venue records excluded.
Machine Learning for Health 17
Medical Imaging with Deep Learning 14
npj Digital Medicine 13
Pacific Symposium on Biocomputing 10
Nature Biomedical Engineering 7
Nature Medicine 7
NEJM AI 6
Radiology 6
ACM CHIL 4
EMNLP 4
Nature Communications 3
NeurIPS Datasets and Benchmarks 3

Archive

Showing 201 of 201 research publications

Research publications (201)

[001] Toward a test of medical AI superintelligence
E Goh, D Wu, C Walton, LG McCoy, A Perez, L Wegner, ...
Nature Medicine | 2026
[002] Humanoid robots in the operating room: a framework for staged integration of embodied AI in surgery
JM Kernbach, G Brat, EJ Topol, P Rajpurkar
npj Digital Medicine | 2026
[003] Open-Ended Clinical Text Generation for Acute Care: Applying Reinforcement Learning with Clinically Grounded Rewards
M Wang, L Luo, SE Kim, F Cao, DA Kim, P Rajpurkar
ACM CHIL | 2026
[004] Large reasoning models as thinking machines for medicine
HY Zhou, A Rodman, P Liu, P Rajpurkar, TY Hu, TY Wong, EJ Topol
Nature Biomedical Engineering | 2026
[005] Rexgroundingct: A 3d chest ct dataset for segmentation of findings from free-text reports
M Baharoon, L Luo, M Moritz, A Kumar, SE Kim, X Zhang, M Zhu, ...
NEJM AI | 2026 | [19 citations]
[006] Pancreatic Cancer AI: The Need for Prospective Outcome Studies
R Bhayana, P Rajpurkar
Radiology | 2026
[007] A universal foundation model for grounded biomedical image interpretation
L Wu, Y Nie, S He, J Zhuang, L Luo, T Li, Z Xie, D Chen, Y Zhao, ...
Nature Communications | 2026 | [1 citation]
[008] Generalist biological artificial intelligence in modeling the language of life
VM Rao, S Zhang, BS Plosky, PD Hsu, B Wang, J Zou, M Zitnik, EJ Topol, ...
Nature Biotechnology | 2026 | [14 citations]
[009] Imitation Learning for Robot Assistance in Open Surgery: A Multi-Policy Evaluation on Suture Following
X Wang, Z Yang, X Zhang, SE Kim, R Hardy, P Rajpurkar
Preprint | 2026
[010] Opportunistic cardiovascular risk assessment using routine head CT in the emergency department
X Zhang, JN Acosta, S Dogra, EN Silva, S Basu, HM Krumholz, R Khera, ...
Journal of the American College of Cardiology | 2026 | [2 citations]
[011] Towards generalizable AI in medicine via Generalist–Specialist Collaboration
S He, Y Nie, H Wang, S Yang, Y Wang, Z Cai, Z Chen, Y Xu, L Wu, ...
Nature Biomedical Engineering | 2026 | [4 citations]
[012] Unifying the odyssey: artificial intelligence for rare disease diagnosis and therapy
ML Ho, M Zitnik, R Azachi, S Basu, P Rajpurkar, R Sidlow
Health and Technology | 2026
[013] ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding
X Wang, X Zhang, SE Kim, A Pal, P Rajpurkar
Preprint | 2026
[014] MedVersa: A Generalist Foundation Model for Diverse Medical Imaging Tasks
HY Zhou, JN Acosta, S Adithan, S Datta, EJ Topol, P Rajpurkar
NEJM AI | 2026 | [8 citations]
[015] ReXInTheWild: A Unified Benchmark for Medical Photograph Understanding
O Banerjee, SE Kim, AN Willauer, JM Kernbach, AR Alomaish, ...
Preprint | 2026 | [1 citation]
[016] A clinical environment simulator for dynamic AI evaluation
L Luo, SE Kim, X Zhang, JM Kernbach, R Kenia, JN Acosta, ...
Nature Medicine | 2026 | [14 citations]
[017] CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
M Baharoon, T Heintz, S Raissi, M Alabbad, M Alhammad, H AlOmaish, ...
Preprint | 2026 | [4 citations]
[018] The Doctor Will Agree With You Now: Sycophancy of Large Language Models in Multi-Turn Medical Conversations
TM Kim, L Luo, SE Kim, AK Manrai, E Topol, P Rajpurkar
Workshop on Linguistic Analysis for Health | 2026 | [8 citations]
[019] Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?
GC Yuan, X Zhang, SE Kim, P Rajpurkar
Workshop on Linguistic Analysis for Health | 2026 | [5 citations]
[020] Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey
J Kottlors, AI Iuga, C Bluethgen, K Bressem, JN Kather, L Moy, C Wald, ...
Radiology | 2026 | [3 citations]
[021] Critically Appraising the Wellness Movement: Cost Without Value, A Narrative Review
ML Ho, EJ Topol, P Rajpurkar
Journal of General Internal Medicine | 2026
[022] ED-Explain: Personalized Video Instructions for Patients Discharged from the Emergency Department
L Luo, E Chen, X Zhang, JN Acosta, BT Jin, F Gunturkun, C Rose, ...
Pacific Symposium on Biocomputing | 2026
[023] International retrospective observational study of continual learning for AI on endotracheal tube placement from chest radiographs
E Chen, A Saenz, O Banerjee, H Marklund, X Zhang, S Johri, HY Zhou, ...
NEJM AI | 2026 | [4 citations]
[024] Evaluation of Large Language Models as Emergency Department Revisit Predictors
E Chen, L Luo, F Gunturkun, S Sambara, R Arora, BT Jin, P Rajpurkar, ...
Pacific Symposium on Biocomputing | 2026 | [1 citation]
[025] Seeing Down the Line: Endoscopic Reconstruction with Centerline Constraints
AD Beltran, R Hardy, P Rajpurkar
Medical Imaging with Deep Learning | 2026
[026] Beyond the Scanner: A Benchmark for Medical Photograph Understanding
O Banerjee, JM Kernbach, SE Kim, AR Alomaish, RAS Alghamdi, ...
Medical Imaging with Deep Learning | 2026
[027] Rendering with a Gut Feeling: Depth-Guided Triangle Splatting for Physically Consistent Colonoscopic Reconstruction
R Hardy, AD Beltran, TA Brenner, TM Berzin, P Rajpurkar
Medical Imaging with Deep Learning | 2026
[028] Automated Chest X-ray Report Generation Remains Unsolved
X Zhang, JN Acosta, X Yang, S Adithan, L Luo, HY Zhou, J Miller, ...
Pacific Symposium on Biocomputing | 2026 | [5 citations]
[029] A Clinician-Guided Framework for Endoscopic AI: Developing PanEndoAtlas and Benchmarking Foundation Models Across the Full GI Spectrum
S Johri, L Luo, HY Zhou, T Brenner, S Elamin, ME Geissler, TM Berzin, ...
Pacific Symposium on Biocomputing | 2026
[030] The Intention-Execution Disconnect in Medical AI: The ReXecution Framework for Evaluating Real-World Clinical Performance
O Banerjee, L Bijnens, S Adithan, P Rajpurkar
Pacific Symposium on Biocomputing | 2026
[031] 3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models
S Sambara, SE Kim, X Zhang, L Luo, S Johri, M Baharoon, DH Ro, ...
Pacific Symposium on Biocomputing | 2026 | [6 citations]
[032] ColonCrafter: A Depth Estimation Model for Colonoscopy Videos Using Diffusion Priors
R Hardy, TM Berzin, P Rajpurkar
Pacific Symposium on Biocomputing | 2026 | [4 citations]
[033] Evaluating Contextual Intelligence in Recyclability: A Comprehensive Study of Image-Based Reasoning Systems
E Park, A Kumar, P Rajpurkar
Preprint | 2025
[034] ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges
R Kenia, X Zhang, P Rajpurkar
Preprint | 2025 | [2 citations]
[035] Human—Artificial Intelligence (AI) Interactions: A Conversation With Pranav Rajpurkar, From the AJR Video Series on AI in Radiology
AS Tejani, P Rajpurkar
American Journal of Roentgenology | 2025 | [2 citations]
[036] Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition
L Wu, J Zhuang, Y Zhou, S He, J Ma, L Luo, X Wang, X Ni, X Zhong, M Wu, ...
Nature Communications | 2025 | [9 citations]
[037] Catalyzing Health AI by Fixing Payment Systems
N Razavian, P Batchu-Green, V Chowdhry, O Elemento, P Rajpurkar, ...
NEJM AI | 2025 | [4 citations]
[038] Coordinating health AI to prevent defensive escalation
M Moritz, EJ Topol, P Rajpurkar
Lancet | 2025
[039] NotifAI-OS: an AI framework for automated CT-based opportunistic screening in post-acute value-based care
R Reddy, PJ Pickhardt, A Manrai, RM Summers, D Kim, P Rajpurkar
Nature Biomedical Engineering | 2025 | [3 citations]
[040] Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment
JN Acosta, SJ Adams, JM Kernbach, R Hardy, SE Kim, L Luo, X Zhang, ...
Second International Conference on Artificial Intelligence for Medicine | 2025 | [2 citations]
[041] State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings
M Baharoon, L Luo, M Moritz, A Kumar, SE Kim, X Zhang, M Zhu, ...
Machine Learning for Health | 2025 | [2 citations]
[042] RadGame: An AI-Powered Platform for Radiology Education
M Baharoon, S Raissi, JS Jun, T Heintz, M Alabbad, A Alburkani, SE Kim, ...
Preprint | 2025 | [2 citations]
[043] The Financial, Operational, and Clinical Advantages of Generalist Radiology AI
S Dogra, X Zhang, E Silva III, P Rajpurkar
Radiology | 2025 | [9 citations]
[044] Towards trustworthy artificial intelligence in musculoskeletal medicine: A narrative review on uncertainty quantification
AM Vahdani, M Shariatnia, P Rajpurkar, A Pareek
Knee Surgery, Sports Traumatology, Arthroscopy | 2025 | [7 citations]
[045] Beyond Assistance: The Case for Role Separation in AI-Human Radiology Workflows
P Rajpurkar, EJ Topol
Radiology | 2025 | [27 citations]
[046] Optimizing AI solutions for population health in primary care
S Basu, P Bermudez-Canete, TC Hall, P Rajpurkar
npj Digital Medicine | 2025 | [8 citations]
[047] A perspective for adapting generalist ai to specialized medical ai applications and their challenges
Z Wang, H Wang, B Danek, Y Li, C Mack, L Arbuckle, D Biswal, H Poon, ...
npj Digital Medicine | 2025 | [33 citations]
[048] The generative era of medical AI
LJ Fahrner, E Chen, E Topol, P Rajpurkar
Cell | 2025 | [118 citations]
[049] MC-MED, multimodal clinical monitoring in the emergency department
A Kansal, E Chen, BT Jin, P Rajpurkar, DA Kim
Scientific Data | 2025 | [22 citations]
[050] How generative AI voice agents will transform medicine
SJ Adams, JN Acosta, P Rajpurkar
npj Digital Medicine | 2025 | [22 citations]
[051] Medframeqa: A multi-image medical vqa benchmark for clinical reasoning
S Yu, H Wang, J Wu, L Luo, J Wang, C Xie, P Rajpurkar, C Yang, Y Yang, ...
Preprint | 2025 | [34 citations]
[052] Development, Evaluation, and Assessment of Large Language Models (DEAL) Checklist: A Technical Report
S Tripathi, D Alkhulaifat, FX Doo, P Rajpurkar, R McBeth, D Daye, ...
NEJM AI | 2025 | [38 citations]
[053] Multimodal generative AI for interpreting 3D medical images and videos
JO Lee, HY Zhou, TM Berzin, DK Sodickson, P Rajpurkar
npj Digital Medicine | 2025 | [27 citations]
[054] A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration
A Moehring, M Kutwal, R Huang, O Banerjee, A Jacobi, C Eber, ...
Scientific Data | 2025 | [6 citations]
[055] ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports
X Zhang, JN Acosta, J Miller, O Huang, P Rajpurkar
Preprint | 2025 | [37 citations]
[056] Unibiomed: A universal foundation model for grounded biomedical image interpretation
L Wu, Y Nie, S He, J Zhuang, L Luo, T Li, Z Xie, D Chen, Y Zhao, ...
Preprint | 2025 | [16 citations]
[057] RadRevise: A Benchmark Dataset for Instruction-Based Radiology Report Editing
Y Huang, JN Acosta, P Rajpurkar
AAAI Bridge Program on AI for Medicine and Health | 2025
[058] A large model for non-invasive and personalized management of breast cancer from multiparametric MRI
L Luo, M Wu, M Li, Y Xin, Q Wang, V Vardhanabhuti, WCW Chu, Z Li, ...
Nature Communications | 2025 | [34 citations]
[059] Coordinated AI agents for advancing healthcare
M Moritz, E Topol, P Rajpurkar
Nature Biomedical Engineering | 2025 | [85 citations]
[060] Multimodal generative AI for medical image interpretation
VM Rao, M Hla, M Moor, S Adithan, S Kwak, EJ Topol, P Rajpurkar
Nature | 2025 | [154 citations]
[061] FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition
L Wu, J Zhuang, Y Zhou, S He, J Ma, L Luo, X Wang, X Ni, X Zhong, M Wu, ...
Preprint | 2025 | [10 citations]
[062] A Synthetic Data-Driven Radiology Foundation Model for Pan-tumor Clinical Diagnosis
W Lei, H Chen, Z Zhang, L Luo, Q Xiao, Y Gu, P Gao, Y Jiang, C Wang, ...
Preprint | 2025 | [2 citations]
[063] A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation
W Lei, H Chen, Z Zhang, L Luo, Q Xiao, Y Gu, P Gao, Y Jiang, C Wang, ...
Preprint | 2025 | [11 citations]
[064] An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-training
Y Nie, S He, Y Bie, Y Wang, Z Chen, S Yang, Z Cai, H Wang, X Wang, ...
Preprint | 2025 | [8 citations]
[065] A clinical certification pathway for generalist medical AI systems
P Rajpurkar, EJ Topol
Lancet | 2025 | [28 citations]
[066] Rexvqa: A large-scale visual question answering benchmark for generalist chest x-ray understanding
A Pal, JO Lee, X Zhang, M Sankarasubbu, S Roh, WJ Kim, M Lee, ...
Pacific Symposium on Biocomputing | 2025 | [23 citations]
[067] ReXErr-v1: Clinically Meaningful Chest X-Ray Report Errors Derived from MIMIC-CXR
V Rao, S Zhang, J Acosta, S Adithan, P Rajpurkar
PhysioNet | 2025 | [3 citations]
[068] Multimodal clinical monitoring in the emergency department (mc-med)
A Kansal, E Chen, T Jin, P Rajpurkar, D Kim
PhysioNet | 2025 | [24 citations]
[069] An evaluation framework for clinical use of large language models in patient interaction tasks
S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, LA Barnes, ...
Nature Medicine | 2025 | [289 citations]
[070] FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
A Heiman, X Zhang, E Chen, SE Kim, P Rajpurkar
CVPR | 2025 | [19 citations]
[071] ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports
VM Rao, S Zhang, JN Acosta, S Adithan, P Rajpurkar
Pacific Symposium on Biocomputing | 2025 | [16 citations]
[072] ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics
O Banerjee, A Saenz, K Wu, W Clements, A Zia, D Buensalido, ...
Pacific Symposium on Biocomputing | 2025 | [8 citations]
[073] ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports
R Hardy, SE Kim, DH Ro, P Rajpurkar
Preprint | 2024 | [18 citations]
[074] a2z-1 for Multi-Disease Detection in Abdomen-Pelvis CT: External Validation and Performance Analysis Across 21 Conditions
P Rajpurkar, JN Acosta, S Dogra, J Jeong, D Jindal, M Moritz, S Rajpurkar
Preprint | 2024 | [3 citations]
[075] The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports
JN Acosta, S Dogra, S Adithan, K Wu, M Moritz, S Kwak, P Rajpurkar
Preprint | 2024 | [20 citations]
[076] Reimbursement in the age of generalist radiology artificial intelligence
S Dogra, E Silva, P Rajpurkar
npj Digital Medicine | 2024 | [16 citations]
[077] RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models
S Zhang, S Sambara, O Banerjee, J Acosta, LJ Fahrner, P Rajpurkar
Machine Learning for Health | 2024 | [30 citations]
[078] ReXplain: Translating Radiology into Patient-Friendly Video Reports
L Luo, J Vairavamurthy, X Zhang, A Kumar, RR Ter-Oganesyan, ...
Machine Learning for Health | 2024 | [13 citations]
[079] ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
X Zhang, HY Zhou, X Yang, O Banerjee, JN Acosta, J Miller, O Huang, ...
Preprint | 2024 | [37 citations]
[080] Pixels and Pitfalls: Building Robust Artificial Intelligence for Medical Imaging
P Rajpurkar, AL Beam, AK Manrai
NEJM AI | 2024 | [3 citations]
[081] HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation
JN Acosta, X Zhang, S Dogra, HY Zhou, S Payabvash, GJ Falcone, ...
Preprint | 2024 | [5 citations]
[082] Generating Synthetic Data for Medical Imaging
LR Koetzier, J Wu, D Mastrodicasa, A Lutz, M Chung, WA Koszek, ...
Radiology | 2024 | [173 citations]
[083] Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
X Zhang, JN Acosta, HY Zhou, P Rajpurkar
Preprint | 2024 | [9 citations]
[084] MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting
AC Asiimwe, D Surís, P Rajpurkar, C Vondrick
Machine Learning for Health | 2024 | [1 citation]
[085] Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation
O Banerjee, HY Zhou, S Adithan, S Kwak, K Wu, P Rajpurkar
Machine Learning for Health | 2024 | [15 citations]
[086] FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
A Huang, O Banerjee, K Wu, EP Reis, P Rajpurkar
Machine Learning for Health | 2024 | [28 citations]
[087] A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI
L Luo, M Wu, M Li, Y Xin, Q Wang, V Vardhanabhuti, WCW Chu, Z Li, ...
Preprint | 2024 | [12 citations]
[088] ReXPref-Prior: A MIMIC-CXR Preference Dataset for Reducing Hallucinated Prior Exams in Radiology Report Generation
O Banerjee, HY Zhou, S Adithan, S Kwak, K Wu, P Rajpurkar
Unknown | 2024
[089] RadGraph2: Tracking Findings Over Time in Radiology Reports
A Dejl, S Khanna, PT Pile, K Yoon, SQH Truong, H Duong, A Saenz, ...
PhysioNet | 2024 | [1 citation]
[090] Implications of race adjustment in lung-function equations
JA Diao, Y He, R Khazanchi, MJN Tiako, JI Witonsky, E Pierson, ...
New England Journal of Medicine | 2024 | [139 citations]
[091] MedVersa: A Generalist Foundation Model for Medical Image Interpretation
HY Zhou, JN Acosta, S Adithan, S Datta, EJ Topol, P Rajpurkar
Preprint | 2024 | [39 citations]
[092] Comparative Advantage of Humans versus AI in the Long Tail
N Agarwal, R Huang, A Moehring, P Rajpurkar, T Salz, F Yu
AEA Papers and Proceedings | 2024 | [14 citations]
[093] Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review
R Han, JN Acosta, Z Shakeri, JPA Ioannidis, EJ Topol, P Rajpurkar
Lancet Digital Health | 2024 | [390 citations]
[094] GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration
S He, Y Nie, H Wang, S Yang, Y Wang, Z Cai, Z Chen, Y Xu, L Luo, ...
Preprint | 2024 | [28 citations]
[095] Heterogeneity and predictors of the effects of AI assistance on radiologists
F Yu, A Moehring, O Banerjee, T Salz, N Agarwal, P Rajpurkar
Nature Medicine | 2024 | [254 citations]
[096] CRAFT-MD: A Conversational Evaluation Framework for Comprehensive Assessment of Clinical LLMs
S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, ZR Cai, ...
AAAI 2024 Spring Symposium on Clinical Foundation Models | 2024 | [28 citations]
[097] Adapting Segment Anything Models to Medical Imaging via Fine-Tuning without Domain Pretraining
K Li, P Rajpurkar
AAAI 2024 Spring Symposium on Clinical Foundation Models | 2024 | [23 citations]
[098] Multimodal image-text matching improves retrieval-based chest x-ray report generation
J Jeong, K Tian, A Li, S Hartung, S Adithan, F Behzadi, J Calle, ...
Medical Imaging with Deep Learning | 2024 | [117 citations]
[099] Cell morphological representations of genes enhance prediction of drug targets
NS Iyer, DJ Michael, SYG Chi, J Arevalo, SN Chandrasekaran, ...
Preprint | 2024 | [2 citations]
[100] A generalist learner for multifaceted medical image interpretation
HY Zhou, S Adithan, JN Acosta, EJ Topol, P Rajpurkar
Preprint | 2024 | [53 citations]
[101] Calibration and Uncertainty Estimation Challenges in Self-Supervised Chest X-ray Pathology Classification Models
J Xu, P Rajpurkar
Medical Imaging with Deep Learning | 2024 | [1 citation]
[102] Evaluating General Vision-Language Models for Clinical Medicine
Y Jiang, JA Omiye, C Zakka, M Moor, H Gui, S Alipour, SS Mousavi, ...
Preprint | 2024 | [17 citations]
[103] The MAIDA initiative: establishing a framework for global medical-imaging data sharing
A Saenz, E Chen, H Marklund, P Rajpurkar
Lancet Digital Health | 2024 | [32 citations]
[104] RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction
S Khanna, A Dejl, K Yoon, SQH Truong, H Duong, A Saenz, P Rajpurkar
Machine Learning for Health | 2023 | [22 citations]
[105] Med-flamingo: a multimodal medical few-shot learner
M Moor, Q Huang, S Wu, M Yasunaga, Y Dalmia, J Leskovec, C Zakka, ...
Machine Learning for Health | 2023 | [820 citations]
[106] LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype
V Shankar, X Yang, V Krishna, B Tan, O Silva, R Rojansky, A Ng, ...
Machine Learning for Health | 2023 | [17 citations]
[107] Learning Generalized Medical Image Representations Through Image-Graph Contrastive Pretraining
S Khanna, D Michael, M Zitnik, P Rajpurkar
Machine Learning for Health | 2023 | [5 citations]
[108] Exploring the Boundaries of GPT-4 in Radiology
Q Liu, S Hyland, S Bannur, K Bouzid, D Castro, M Wetscherek, R Tinn, ...
EMNLP | 2023 | [58 citations]
[109] A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring
E Chen, S Prakash, V Janapa Reddi, D Kim, P Rajpurkar
Nature Biomedical Engineering | 2023 | [68 citations]
[110] Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
E Chen, A Kansal, J Chen, BT Jin, JR Reisler, DA Kim, P Rajpurkar
NeurIPS Datasets and Benchmarks | 2023 | [32 citations]
[111] Multimodal Foundation Models Exploit Text to Make Medical Image Predictions
T Buckley, JA Diao, P Rajpurkar, A Rodman, AK Manrai
Preprint | 2023 | [15 citations]
[112] Style-aware radiology report generation with radgraph and few-shot prompting
B Yan, R Liu, DE Kuo, S Adithan, EP Reis, S Kwak, VK Venugopal, ...
EMNLP | 2023 | [55 citations]
[113] AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions
M Sanchez, K Alford, V Krishna, TM Huynh, CDT Nguyen, MP Lungren, ...
Cell Reports Medicine | 2023 | [17 citations]
[114] Autonomous AI systems in the face of liability, regulations and costs
AD Saenz, Z Harned, O Banerjee, MD Abràmoff, P Rajpurkar
npj Digital Medicine | 2023 | [94 citations]
[115] Guidelines For Rigorous Evaluation of Clinical LLMs For Conversational Reasoning
S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, ZR Cai, ...
Preprint | 2023 | [11 citations]
[116] Evaluating progress in automatic chest x-ray radiology report generation
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKUN Fonseca, ...
Patterns | 2023 | [309 citations]
[117] Augmenting medical image classifiers with synthetic data from latent diffusion models
LW Sagers, JA Diao, L Melas-Kyriazi, M Groh, P Rajpurkar, AS Adamson, ...
Preprint | 2023 | [43 citations]
[118] Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
N Agarwal, A Moehring, P Rajpurkar, T Salz
National Bureau of Economic Research | 2023 | [388 citations]
[119] The Current and Future State of AI Interpretation of Medical Images
P Rajpurkar, MP Lungren
New England Journal of Medicine | 2023 | [560 citations]
[120] Improving Zero-Shot Detection of Low Prevalence Chest Pathologies using Domain Pre-trained Language Models
A Mishra, R Mittal, C Jestin, K Tingos, P Rajpurkar
Medical Imaging with Deep Learning | 2023 | [10 citations]
[121] Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer
V Nimgaonkar, V Krishna, V Krishna, E Tiu, A Joshi, D Vrabac, ...
Cell Reports Medicine | 2023 | [31 citations]
[122] BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors
K Wantlin, C Wu, SC Huang, O Banerjee, F Dadabhoy, VV Mehta, ...
Preprint | 2023 | [31 citations]
[123] Foundation models for generalist medical artificial intelligence
M Moor, O Banerjee, ZSH Abad, HM Krumholz, J Leskovec, EJ Topol, ...
Nature | 2023 | [2816 citations]
[124] Predicting patient decompensation from continuous physiologic monitoring in the emergency department
S Sundrani, J Chen, BT Jin, ZSH Abad, P Rajpurkar, D Kim
npj Digital Medicine | 2023 | [69 citations]
[125] Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2
AT Le, M Wu, A Khan, N Phillips, P Rajpurkar, M Garland, K Magid, ...
Frontiers in Microbiology | 2023 | [9 citations]
[126] ReFiSco: Report Fix and Score Dataset for Radiology Report Generation
K Tian, SJ Hartung, AA Li, J Jeong, F Behzadi, J Calle-Toro, S Adithan, ...
Unknown | 2023 | [6 citations]
[127] Randomized Controlled Trials Evaluating AI in Clinical Practice: A Scoping Evaluation
R Han, JN Acosta, Z Shakeri, J Ioannidis, E Topol, P Rajpurkar
Preprint | 2023 | [26 citations]
[128] Testing the Limits of Language Models: A Conversational Framework for Medical AI Assessment
S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, ZR Cai, ...
Preprint | 2023 | [13 citations]
[129] Radiology report expert evaluation (rexval) dataset
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKU Fonseca, H Lee, ...
PhysioNet | 2023 | [13 citations]
[130] Video pretraining advances 3D deep learning on chest CT tasks
A Ke, SC Huang, CP O'Connell, M Klimont, S Yeung, P Rajpurkar
Medical Imaging with Deep Learning | 2023 | [9 citations]
[131] A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw
P Marsh, D Radif, P Rajpurkar, Z Wang, E Hariton, S Ribeiro, R Simbulan, ...
Scientific Reports | 2022 | [14 citations]
[132] MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning
D Vrabac, A Smit, Y He, AY Ng, AL Beam, P Rajpurkar
Medical Imaging with Deep Learning | 2022 | [20 citations]
[133] Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning
E Tiu, E Talius, P Patel, CP Langlotz, AY Ng, P Rajpurkar
Nature Biomedical Engineering | 2022 | [695 citations]
[134] Self-supervised learning in medicine and healthcare
R Krishnan, P Rajpurkar, EJ Topol
Nature Biomedical Engineering | 2022 | [802 citations]
[135] Improving dermatology classifiers across populations using images generated by large diffusion models
LW Sagers, JA Diao, M Groh, P Rajpurkar, AS Adamson, AK Manrai
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research | 2022 | [54 citations]
[136] Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors
V Ramesh, NA Chi, P Rajpurkar
Machine Learning for Health | 2022 | [86 citations]
[137] Benchmarking saliency methods for chest X-ray interpretation
A Saporta, X Gui, A Agrawal, A Pareek, SQH Truong, CDT Nguyen, ...
Nature Machine Intelligence | 2022 | [350 citations]
[138] Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography
BT Jin, R Palleti, S Shi, AY Ng, JV Quinn, P Rajpurkar, D Kim
Journal of the American Medical Informatics Association | 2022 | [22 citations]
[139] Multimodal biomedical AI
JN Acosta, GJ Falcone, P Rajpurkar, EJ Topol
Nature Medicine | 2022 | [1723 citations]
[140] The need for medical artificial intelligence that incorporates prior images
JN Acosta, GJ Falcone, P Rajpurkar
Radiology | 2022 | [42 citations]
[141] CheXED: comparison of a deep learning model to a clinical decision support system for pneumonia in the emergency department
JA Irvin, A Pareek, J Long, P Rajpurkar, DKM Eng, N Khandwala, ...
Journal of Thoracic Imaging | 2022 | [22 citations]
[142] Contrastive learning of heart and lung sounds for label-efficient diagnosis
PN Soni, S Shi, PR Sriram, AY Ng, P Rajpurkar
Patterns | 2022 | [45 citations]
[143] Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia
J Braatz, P Rajpurkar, S Zhang, AY Ng, J Shen
Preprint | 2022 | [14 citations]
[144] Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2
AT Le, M Wu, A Khan, N Phillips, P Rajpurkar, M Garland, K Magid, ...
Frontiers in Microbiology | 2022
[145] CXR-PRO: MIMIC-CXR with Prior References Omitted
V Ramesh, N Chi, P Rajpurkar
Unknown | 2022 | [3 citations]
[146] Self-Supervised Pretraining Enables High-Performance Chest X-Ray Interpretation Across Clinical Distributions
NS Iyer, A Gulati, O Banerjee, C Logé, M Farhat, A Saenz, P Rajpurkar
Preprint | 2022 | [6 citations]
[147] AI in health and medicine
P Rajpurkar, E Chen, O Banerjee, EJ Topol
Nature Medicine | 2022 | [4119 citations]
[148] Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model
M Endo, R Krishnan, V Krishna, AY Ng, P Rajpurkar
Machine Learning for Health | 2021 | [189 citations]
[149] 3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations
B Gopal, R Han, G Raghupathi, A Ng, G Tison, P Rajpurkar
Machine Learning for Health | 2021 | [104 citations]
[150] A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes
E Hariton, EA Chi, G Chi, JR Morris, J Braatz, P Rajpurkar, M Rosen
Fertility and Sterility | 2021 | [90 citations]
[151] Chexbreak: Misclassification identification for deep learning models interpreting chest x-rays
E Chen, A Kim, R Krishnan, J Long, AY Ng, P Rajpurkar
Machine Learning for Health | 2021 | [5 citations]
[152] Medaug: Contrastive learning leveraging patient metadata improves representations for chest x-ray interpretation
YNT Vu, R Wang, N Balachandar, C Liu, AY Ng, P Rajpurkar
Machine Learning for Health | 2021 | [129 citations]
[153] GloFlow: Whole slide image stitching from video using optical flow and global image alignment
V Krishna, A Joshi, D Vrabac, P Bulterys, E Yang, S Fernandez-Pol, ...
MICCAI | 2021 | [6 citations]
[154] Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza
CA Hogan, P Rajpurkar, H Sowrirajan, NA Phillips, AT Le, M Wu, ...
eBioMedicine | 2021 | [38 citations]
[155] Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
S Shi, I Malhi, K Tran, AY Ng, P Rajpurkar
Medical Imaging with Deep Learning | 2021 | [5 citations]
[156] Moco pretraining improves representation and transferability of chest x-ray models
H Sowrirajan, J Yang, AY Ng, P Rajpurkar
Medical Imaging with Deep Learning | 2021 | [315 citations]
[157] Chexseg: Combining expert annotations with dnn-generated saliency maps for x-ray segmentation
SU Gadgil, M Endo, E Wen, AY Ng, P Rajpurkar
Medical Imaging with Deep Learning | 2021 | [16 citations]
[158] Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management
C Logé, E Ross, DYA Dadey, S Jain, A Saporta, AY Ng, P Rajpurkar
NeurIPS Datasets and Benchmarks | 2021 | [34 citations]
[159] RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
S Jain, A Agrawal, A Saporta, SQH Truong, DN Duong, T Bui, P Chambon, ...
NeurIPS Datasets and Benchmarks | 2021 | [558 citations]
[160] Deep Learning for Medical Image Interpretation
P Rajpurkar
Stanford University | 2021 | [6 citations]
[161] Improving Hospital Readmission Prediction using Individualized Utility Analysis
M Ko, E Chen, A Agrawal, P Rajpurkar, A Avati, A Ng, S Basu, NH Shah
Journal of Biomedical Informatics | 2021 | [19 citations]
[162] Automated coronary calcium scoring using deep learning with multicenter external validation
D Eng, C Chute, N Khandwala, P Rajpurkar, J Long, S Shleifer, ...
npj Digital Medicine | 2021 | [207 citations]
[163] DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
D Vrabac, A Smit, R Rojansky, Y Natkunam, RH Advani, AY Ng, ...
Scientific Data | 2021 | [49 citations]
[164] Structured dataset documentation: a datasheet for CheXpert
C Garbin, P Rajpurkar, J Irvin, MP Lungren, O Marques
Preprint | 2021 | [37 citations]
[165] Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation
S Jain, A Smit, AY Ng, P Rajpurkar
NeurIPS Data-Centric AI Workshop | 2021 | [11 citations]
[166] VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels
S Jain, A Smit, SQH Truong, CDT Nguyen, MT Huynh, M Jain, VA Young, ...
ACM CHIL | 2021 | [53 citations]
[167] CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings
P Rajpurkar, A Joshi, A Pareek, AY Ng, MP Lungren
ACM CHIL | 2021 | [24 citations]
[168] CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
A Ke, W Ellsworth, O Banerjee, AY Ng, P Rajpurkar
ACM CHIL | 2021 | [181 citations]
[169] Deep learning saliency maps do not accurately highlight diagnostically relevant regions for medical image interpretation
A Saporta, X Gui, A Agrawal, A Pareek, SQH Truong, CDT Nguyen, ...
Unknown | 2021 | [48 citations]
[170] CheXphoto: 10,000+ photos and transformations of chest X-rays for benchmarking deep learning robustness
NA Phillips, P Rajpurkar, M Sabini, R Krishnan, S Zhou, A Pareek, ...
Machine Learning for Health | 2020 | [36 citations]
[171] CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV
P Rajpurkar, C O’Connell, A Schechter, N Asnani, J Li, A Kiani, RL Ball, ...
npj Digital Medicine | 2020 | [182 citations]
[172] Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments
JA Irvin, AA Kondrich, M Ko, P Rajpurkar, B Haghgoo, BE Landon, ...
BMC Public Health | 2020 | [80 citations]
[173] PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ...
npj Digital Medicine | 2020 | [236 citations]
[174] CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
A Smit, S Jain, P Rajpurkar, A Pareek, AY Ng, MP Lungren
EMNLP | 2020 | [677 citations]
[175] AppendiXNet: deep learning for diagnosis of appendicitis from a small dataset of CT exams using video pretraining
P Rajpurkar, A Park, J Irvin, C Chute, M Bereket, D Mastrodicasa, ...
Scientific Reports | 2020 | [141 citations]
[176] CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
P Rajpurkar, A Joshi, A Pareek, P Chen, A Kiani, J Irvin, AY Ng, ...
ACM CHIL Workshop | 2020 | [48 citations]
[177] Impact of a deep learning assistant on the histopathologic classification of liver cancer
A Kiani, B Uyumazturk, P Rajpurkar, A Wang, R Gao, E Jones, Y Yu, ...
npj Digital Medicine | 2020 | [359 citations]
[178] Automated abnormality detection in lower extremity radiographs using deep learning
M Varma, M Lu, R Gardner, J Dunnmon, N Khandwala, P Rajpurkar, ...
Nature Machine Intelligence | 2019 | [105 citations]
[179] Human–machine partnership with artificial intelligence for chest radiograph diagnosis
BN Patel, L Rosenberg, G Willcox, D Baltaxe, M Lyons, J Irvin, ...
npj Digital Medicine | 2019 | [301 citations]
[180] Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
J Irvin, P Rajpurkar, M Ko, Y Yu, S Ciurea-Ilcus, C Chute, H Marklund, ...
AAAI Conference on Artificial Intelligence | 2019 | [4830 citations]
[181] Deep-Learning Artificial Intelligence Model for Automated Detection of Cervical Spine Fracture on Computed Tomography (CT) Imaging
SB Dunsker, M Zhang, L Kim, R Cheong, B Cohen-Wang, K Shpanskaya, ...
Journal of Neurosurgery | 2019 | [10 citations]
[182] AI-Augmented Diagnosis of Brain Aneurysms from CTA: A Retrospective Study
R Jabarkheel, A Park, C Chute, P Rajpurkar, J Lou, K Shpanskaya, L Kim, ...
Journal of Neurosurgery | 2019 | [1 citation]
[183] Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized …
T Duan, P Rajpurkar, D Laird, AY Ng, S Basu
Circulation: Cardiovascular Quality and Outcomes | 2019 | [65 citations]
[184] Machine Vision, Medical AI, and Malpractice
Z Harned, MP Lungren, P Rajpurkar
Harvard Journal of Law & Technology Digest | 2019 | [32 citations]
[185] Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
AY Hannun, P Rajpurkar, M Haghpanahi, GH Tison, C Bourn, ...
Nature Medicine | 2019 | [4146 citations]
[186] Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ...
PLOS Medicine | 2018 | [926 citations]
[187] Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLOS Medicine | 2018 | [1901 citations]
[188] Know What You Don't Know: Unanswerable Questions for SQuAD
P Rajpurkar, R Jia, P Liang
ACL | 2018 | [4198 citations]
[189] Radiology SWARM: novel crowdsourcing tool for CheXNet algorithm validation
S Halabi, M Lungren, L Rosenberg, D Baltaxe, B Patel, J Seekins
SIIM Conference on Machine Intelligence in Medical Imaging | 2018 | [12 citations]
[190] MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs
P Rajpurkar, J Irvin, A Bagul, D Ding, T Duan, H Mehta, B Yang, K Zhu, ...
Medical Imaging with Deep Learning | 2017 | [665 citations]
[191] Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning
P Rajpurkar, V Polamreddi, A Balakrishnan
Machine Learning for Health | 2017 | [4 citations]
[192] CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
Preprint | 2017 | [5398 citations]
[193] Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng
Preprint | 2017 | [1384 citations]
[194] SQuAD: 100,000+ Questions for Machine Comprehension of Text
P Rajpurkar, J Zhang, K Lopyrev, P Liang
EMNLP | 2016 | [12210 citations]
[195] Augur: Mining Human Behaviors from Fiction to Power Interactive Systems
E Fast, W McGrath, P Rajpurkar, MS Bernstein
CHI | 2016 | [52 citations]
[196] An Empirical Evaluation of Deep Learning on Highway Driving
B Huval, T Wang, S Tandon, J Kiske, W Song, J Pazhayampallil, ...
Preprint | 2015 | [1035 citations]
[197] Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving
P Rajpurkar, T Migimatsu, J Kiske, S Cheng-Yue, Royce, Tandon, T Wang, ...
ICML'15 Workshop on Crowdsourcing | 2015 | [6 citations]
[198] A Supervised Approach To Musical Chord Recognition
P Rajpurkar, B Girardeau, T Migimatsu
Stanford Undergraduate Research Journal '14 | 2014 | [10 citations]

Patents (3)

[001] Systems and methods for performing medical tasks using a medical artificial intelligence system
P Rajpurkar, HY Zhou
Patent | 2025 | [2 citations]
[002] Systems and methods for radiology image classification from noisy images
S Zhou, AY Ng, P Rajpurkar, M Sabini, C Wang, NM Phu, A Kiani, J Irvin, ...
Patent | 2023 | [3 citations]
[003] Machine learning analysis for metabolomics classification and biomarker discovery
C Hogan, P Rajpurkar, BA Pinsky, AT Le
Patent | 2022 | [2 citations]

Meeting abstracts (13)

[001] From data to artificial intelligence: evaluating the readiness of gastrointestinal endoscopy datasets
S Elamin, S Johri, P Rajpurkar, E Geisler, TM Berzin
Journal of the Canadian Association of Gastroenterology | 2025 | [10 citations]
[002] AI-based pathologic biomarker for pathologic downstaging in patients with muscle-invasive bladder cancer undergoing cystectomy after neoadjuvant nivolumab, gemcitabine, and …
V Krishna, GP Sonpavde, S Gupta, BL Maughan, N Agarwal, M Eckstein, ...
Journal of Clinical Oncology | 2023
[003] Development of artificial intelligence–derived histological biomarkers for first-line treatment selection in metastatic pancreatic ductal adenocarcinoma (mPDAC).
V Krishna, E Tiu, V Krishna, D Vrabac, K Shah, W Abuzeid, K Smith, ...
Journal of Clinical Oncology | 2023 | [2 citations]
[004] Gemcitabine response prediction in the adjuvant treatment of resected pancreatic ductal adenocarcinoma using an AI histopathology platform.
V Krishna, V Nimgaonkar, E Tiu, V Krishna, H Bhambhvani, S Cook, ...
Journal of Clinical Oncology | 2022 | [2 citations]
[005] Development and validation of an artificial intelligence system to optimize clinician review of patient records
EA Chi, G Chi, CT Tsui, Y Jiang, K Jarr, CV Kulkarni, M Zhang, J Long, ...
JAMA Network Open | 2021 | [74 citations]
[006] DEVELOPMENT AND VALIDATION OF AN ARTIFICIAL INTELLIGENCE SYSTEM TO OPTIMIZE CLINICIAN REVIEW OF PATIENT RECORDS
EA Chi, G Chi, CT Tsui, Y Jiang, K Jarr, C Kulkarni, M Zhang, J Long, ...
Gastroenterology | 2021
[007] CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays
P Rajpurkar, A Joshi, A Pareek, J Irvin, AY Ng, M Lungren
Machine Learning for Health | 2020 | [2 citations]
[008] GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video
V Krishna, A Joshi, PL Bulterys, E Yang, AY Ng, P Rajpurkar
Machine Learning for Health | 2020 | [1 citation]
[009] Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With …
P Rajpurkar, J Yang, N Dass, V Vale, AS Keller, J Irvin, Z Taylor, S Basu, ...
JAMA Network Open | 2020 | [111 citations]
[010] Deep Learning for the Digital Pathologic Diagnosis of Cholangiocarcinoma and Hepatocellular Carcinoma: Evaluating the Impact of a Web-based Diagnostic Assistant
B Uyumazturk, A Kiani, P Rajpurkar, A Wang, RL Ball, R Gao, Y Yu, ...
Machine Learning for Health | 2019 | [18 citations]
[011] Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
A Park, C Chute, P Rajpurkar, J Lou, RL Ball, K Shpanskaya, ...
JAMA Network Open | 2019 | [303 citations]
[012] AUTOMATED DETECTION OF PROSTATE CANCER ON MULTIPARAMETRIC MRI USING DEEP NEURAL NETWORKS TRAINED ON SPATIAL COORDINATES AND PATHOLOGY OF BIOPSY CORES
L Chen, N Bien, R Fan, R Cheong, P Rajpurkar, A Thong, N Wang, ...
Journal of Urology | 2019 | [1 citation]
[013] Text Mining Emergent Human Behaviors for Interactive Systems
E Fast, P Rajpurkar, MS Bernstein
Annual ACM Conference Extended Abstracts on Human | 2015 | [3 citations]