[001] SQuAD: 100,000+ Questions for Machine Comprehension of Text
P Rajpurkar, J Zhang, K Lopyrev, P Liang
EMNLP | 2016 | [10640 citations]
[002] 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 | [4329 citations]
[003] 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 | [3751 citations]
[004] Know What You Don't Know: Unanswerable Questions for SQuAD
P Rajpurkar, R Jia, P Liang
Annual Meeting Of The Association For Computational … | 2018 | [3735 citations]
[005] 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 | [3295 citations]
[006] AI in health and medicine
P Rajpurkar, E Chen, O Banerjee, EJ Topol
Nature Medicine | 2022 | [2684 citations]
[007] Foundation models for generalist medical artificial intelligence
M Moor, O Banerjee, ZSH Abad, HM Krumholz, J Leskovec, EJ Topol, ...
Nature | 2023 | [1723 citations]
[008] 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 | [1578 citations]
[009] Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng
Preprint | 2017 | [1159 citations]
[010] Multimodal biomedical AI
JN Acosta, GJ Falcone, P Rajpurkar, EJ Topol
Nature Medicine | 2022 | [1060 citations]
[011] An Empirical Evaluation of Deep Learning on Highway Driving
B Huval, T Wang, S Tandon, J Kiske, W Song, J Pazhayampallil, ...
Preprint | 2015 | [1034 citations]
[012] 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 | [822 citations]
[013] Self-supervised learning in medicine and healthcare
R Krishnan, P Rajpurkar, EJ Topol
Nature Biomedical Engineering | 2022 | [629 citations]
[014] 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 | [559 citations]
[015] 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 | [475 citations]
[016] 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 | [473 citations]
[017] 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 | [459 citations]
[018] The Current and Future State of AI Interpretation of Medical Images
P Rajpurkar, MP Lungren
New England Journal Of Medicine | 2023 | [397 citations]
[019] RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
S Jain, A Agrawal, A Saporta, SQH Truong, DN Duong, T Bui, P Chambon, ...
Neurips | 2021 | [341 citations]
[020] 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 | [308 citations]
[021] 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 | [267 citations]
[022] Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
N Agarwal, A Moehring, P Rajpurkar, T Salz
National Bureau Of Economic Research | 2023 | [256 citations]
[023] 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 | [256 citations]
[024] Benchmarking saliency methods for chest X-ray interpretation
A Saporta, X Gui, A Agrawal, A Pareek, SQH Truong, CDT Nguyen, ...
Nature Machine Intelligence | 2022 | [228 citations]
[025] 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 | [191 citations]
[026] 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 | [189 citations]
[027] 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 | [183 citations]
[028] 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 | [158 citations]
[029] 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 | [153 citations]
[030] CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
A Ke, W Ellsworth, O Banerjee, AY Ng, P Rajpurkar
Acm Conference On Health, Inference, And Learning (Acm-Chil) | 2021 | [152 citations]
[031] 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 | [144 citations]
[032] 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 | [132 citations]
[033] 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 | [124 citations]
[034] 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 | [115 citations]
[035] 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 | [106 citations]
[036] 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 | [104 citations]
[037] 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 | [88 citations]
[038] 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 | [82 citations]
[039] 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 | [77 citations]
[040] 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 | [75 citations]
[041] 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 | [67 citations]
[042] 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 | [64 citations]
[043] Generating Synthetic Data for Medical Imaging
LR Koetzier, J Wu, D Mastrodicasa, A Lutz, M Chung, WA Koszek, ...
Radiology | 2024 | [62 citations]
[044] 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 | [60 citations]
[045] Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors
V Ramesh, NA Chi, P Rajpurkar
Machine Learning For Health | 2022 | [60 citations]
[046] 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 | [59 citations]
[047] Exploring the Boundaries of GPT-4 in Radiology
Q Liu, S Hyland, S Bannur, K Bouzid, DC Castro, MT Wetscherek, R Tinn, ...
Preprint | 2023 | [48 citations]
[048] Augur: Mining Human Behaviors from Fiction to Power Interactive Systems
E Fast, W McGrath, P Rajpurkar, MS Bernstein
EMNLP | 2016 | [48 citations]
[049] 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 | [44 citations]
[050] 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 Conference On Health, Inference, And Learning (Chil) Workshop | 2020 | [43 citations]
[051] 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 | [42 citations]
[052] 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 Conference On Health, Inference, And Learning (Acm-Chil) | 2021 | [42 citations]
[053] 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 | [42 citations]
[054] A generalist learner for multifaceted medical image interpretation
HY Zhou, S Adithan, JN Acosta, EJ Topol, P Rajpurkar
Preprint | 2024 | [40 citations]
[055] The need for medical artificial intelligence that incorporates prior images
JN Acosta, GJ Falcone, P Rajpurkar
Radiology | 2022 | [38 citations]
[056] Contrastive learning of heart and lung sounds for label-efficient diagnosis
PN Soni, S Shi, PR Sriram, AY Ng, P Rajpurkar
Patterns | 2022 | [38 citations]
[057] Multimodal generative AI for medical image interpretation
VM Rao, M Hla, M Moor, S Adithan, S Kwak, EJ Topol, P Rajpurkar
Nature | 2025 | [36 citations]
[058] 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 | [35 citations]
[059] 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 | [35 citations]
[060] 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 | [33 citations]
[061] 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, ...
Preprint | 2023 | [32 citations]
[062] 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 | [32 citations]
[063] Structured dataset documentation: a datasheet for CheXpert
C Garbin, P Rajpurkar, J Irvin, MP Lungren, O Marques
Preprint | 2021 | [32 citations]
[064] 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 | [30 citations]
[065] Machine Vision, Medical AI, and Malpractice
Z Harned, MP Lungren, P Rajpurkar
Zach Harned, Matthew P. Lungren &Amp; Pranav Rajpurkar, Comment, Machine Vision … | 2019 | [27 citations]
[066] The MAIDA initiative: establishing a framework for global medical-imaging data sharing
A Saenz, E Chen, H Marklund, P Rajpurkar
Lancet Digital Health | 2024 | [26 citations]
[067] 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 | 2023 | [26 citations]
[068] 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 | 2021 | [26 citations]
[069] Coordinated AI agents for advancing healthcare
M Moritz, E Topol, P Rajpurkar
Nature Biomedical Engineering | 2025 | [23 citations]
[070] 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 | [22 citations]
[071] The generative era of medical AI
LJ Fahrner, E Chen, E Topol, P Rajpurkar
Cell | 2025 | [19 citations]
[072] 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 Conference On Health, Inference, And Learning (Acm-Chil) | 2021 | [19 citations]
[073] 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 | [18 citations]
[074] 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 | [18 citations]
[075] 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 | [18 citations]
[076] 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 | [18 citations]
[077] 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 | [17 citations]
[078] 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 | [17 citations]
[079] 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 | [17 citations]
[080] A clinical certification pathway for generalist medical AI systems
P Rajpurkar, EJ Topol
Lancet | 2025 | [16 citations]
[081] 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 | [16 citations]
[082] Adapting Segment Anything Models to Medical Imaging via Fine-Tuning without Domain Pretraining
K Li, P Rajpurkar
Aaai | 2024 | [16 citations]
[083] 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 | [16 citations]
[084] 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]
[085] MedVersa: A Generalist Foundation Model for Medical Image Interpretation
HY Zhou, JN Acosta, S Adithan, S Datta, EJ Topol, P Rajpurkar
Preprint | 2024 | [14 citations]
[086] 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 | [13 citations]
[087] 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 | [13 citations]
[088] 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 | [13 citations]
[089] 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 | [12 citations]
[090] 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 | [12 citations]
[091] Radiology report expert evaluation (rexval) dataset
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKU Fonseca, H Lee, ...
Physionet | 2023 | [11 citations]
[092] 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 | [11 citations]
[093] 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 | [10 citations]
[094] 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 | [10 citations]
[095] 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 | [10 citations]
[096] Multimodal Foundation Models Exploit Text to Make Medical Image Predictions
T Buckley, JA Diao, P Rajpurkar, A Rodman, AK Manrai
Preprint | 2023 | [10 citations]
[097] 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 | [10 citations]
[098] 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 | [10 citations]
[099] 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]
[100] A Supervised Approach To Musical Chord Recognition
P Rajpurkar, B Girardeau, T Migimatsu
Stanford Undergraduate Research Journal '14 | 2014 | [10 citations]
[101] 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 | [9 citations]
[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 | [9 citations]
[103] Beyond Assistance: The Case for Role Separation in AI-Human Radiology Workflows
P Rajpurkar, EJ Topol
Radiology | 2025 | [8 citations]
[104] ReXplain: Translating Radiology into Patient-Friendly Video Reports
L Luo, J Vairavamurthy, X Zhang, A Kumar, RR Ter-Oganesyan, ...
Machine Learning For Health | 2024 | [8 citations]
[105] Guidelines For Rigorous Evaluation of Clinical LLMs For Conversational Reasoning
S Johri, J Jeong, BA Tran, DI Schlessinger, S Wongvibulsin, ZR Cai, ...
Preprint | 2023 | [8 citations]
[106] 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 | [8 citations]
[107] 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 | [7 citations]
[108] 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 | [7 citations]
[109] Multimodal clinical monitoring in the emergency department (mc-med)
A Kansal, E Chen, T Jin, P Rajpurkar, D Kim
Physionet | 2025 | [7 citations]
[110] Reimbursement in the age of generalist radiology artificial intelligence
S Dogra, E Silva, P Rajpurkar
Npj Digital Medicine | 2024 | [7 citations]
[111] 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 | [7 citations]
[112] 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 | 2024 | [7 citations]
[113] 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 | [6 citations]
[114] 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 | [6 citations]
[115] 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, ...
International Conference On Medical Image Computing And Computer-Assisted … | 2021 | [6 citations]
[116] Deep Learning for Medical Image Interpretation
P Rajpurkar
Stanford University | 2021 | [6 citations]
[117] 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]
[118] 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 | [5 citations]
[119] ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports
VM Rao, S Zhang, JN Acosta, S Adithan, P Rajpurkar
Pacific Symposium On Biocomputing | 2025 | [5 citations]
[120] ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports
R Hardy, SE Kim, DH Ro, P Rajpurkar
Preprint | 2024 | [5 citations]
[121] 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 | [5 citations]
[122] 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 | [5 citations]
[123] 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 | [5 citations]
[124] 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 | [5 citations]
[125] 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]
[126] 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]
[127] How generative AI voice agents will transform medicine
SJ Adams, JN Acosta, P Rajpurkar
Npj Digital Medicine | 2025 | [4 citations]
[128] UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
L Wu, Y Nie, S He, J Zhuang, L Luo, N Mahboobani, V Vardhanabhuti, ...
Preprint | 2025 | [4 citations]
[129] 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 | [4 citations]
[130] Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning
P Rajpurkar, V Polamreddi, A Balakrishnan
Nips'15 Workshop On Machine Learning For Health | 2017 | [4 citations]
[131] 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, ...
Preprint | 2025 | [3 citations]
[132] MC-MED, multimodal clinical monitoring in the emergency department
A Kansal, E Chen, BT Jin, P Rajpurkar, DA Kim
Scientific Data | 2025 | [3 citations]
[133] Multimodal generative AI for interpreting 3D medical images and videos
JO Lee, HY Zhou, TM Berzin, DK Sodickson, P Rajpurkar
Npj Digital Medicine | 2025 | [3 citations]
[134] FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
A Heiman, X Zhang, E Chen, SE Kim, P Rajpurkar
Computer Vision And Pattern Recognition | 2025 | [3 citations]
[135] Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
X Zhang, JN Acosta, HY Zhou, P Rajpurkar
Preprint | 2024 | [3 citations]
[136] Learning Generalized Medical Image Representations Through Image-Graph Contrastive Pretraining
S Khanna, D Michael, M Zitnik, P Rajpurkar
Machine Learning For Health , 232--243 | 2023 | [3 citations]
[137] 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, ...
Preprint | 2025 | [2 citations]
[138] A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration
A Moehring, M Kutwal, R Huang, O Banerjee, A Jacobi, C Eber, ...
Scientific Data | 2025 | [2 citations]
[139] 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 | [2 citations]
[140] Pixels and Pitfalls: Building Robust Artificial Intelligence for Medical Imaging
P Rajpurkar, AL Beam, AK Manrai
Nejm Ai | 2024 | [2 citations]
[141] The Financial, Operational, and Clinical Advantages of Generalist Radiology AI
S Dogra, X Zhang, E Silva III, P Rajpurkar
Radiology | 2025 | [1 citation]
[142] 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 | [1 citation]
[143] 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, ...
Unknown | 2025 | [1 citation]
[144] 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 | [1 citation]
[145] 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 | [1 citation]
[146] 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 | [1 citation]
[147] Cell morphological representations of genes enhance prediction of drug targets
NS Iyer, DJ Michael, SYG Chi, J Arevalo, SN Chandrasekaran, ...
Preprint | 2024 | [1 citation]
[148] CXR-PRO: MIMIC-CXR with Prior References Omitted
V Ramesh, N Chi, P Rajpurkar
Unknown | 2022 | [1 citation]
[149] 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]
[150] 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
[151] 3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models
S Sambara, SE Kim, X Zhang, L Luo, S Johri, M Baharoon, DH Ro, ...
Preprint | 2025
[152] Human–Artificial Intelligence (AI) Interactions: A Conversation With Pranav Rajpurkar, From the AJR Video Series on AI in Radiology
A Tejani, P Rajpurkar
American Journal Of Roentgenology | 2025
[153] ColonCrafter: A Depth Estimation Model for Colonoscopy Videos Using Diffusion Priors
R Hardy, T Berzin, P Rajpurkar
Preprint | 2025
[154] RadGame: An AI-Powered Platform for Radiology Education
M Baharoon, S Raissi, JS Jun, T Heintz, M Alabbad, A Alburkani, SE Kim, ...
Preprint | 2025
[155] Optimizing AI solutions for population health in primary care
S Basu, P Bermudez-Canete, TC Hall, P Rajpurkar
Npj Digital Medicine | 2025
[156] Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment
J Acosta, S Adams, J Kernbach, R Hardy, SE Kim, L Luo, X Zhang, S Johri, ...
Preprint | 2025
[157] 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
[158] 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
[159] MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting
AC Asiimwe, D Surís, P Rajpurkar, C Vondrick
Machine Learning For Health | 2024
[160] RadGraph2: Tracking Findings Over Time in Radiology Reports
A Dejl, S Khanna, PT Pile, K Yoon, SQH Truong, H Duong, A Saenz, ...
Physionet | 2024
[161] Calibration and Uncertainty Estimation Challenges in Self-Supervised Chest X-ray Pathology Classification Models
J Xu, P Rajpurkar
Medical Imaging With Deep Learning | 2024
[162] 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