| SQuAD: 100,000+ Questions for Machine Comprehension of Text P Rajpurkar, J Zhang, K Lopyrev, P Liang Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 9466 | 2016 |
| 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, ... arXiv preprint arXiv:1711.05225, 2017 | 3694 | 2017 |
| Know What You Don't Know: Unanswerable Questions for SQuAD P Rajpurkar, R Jia, P Liang Proceedings of the 55th Annual Meeting of the Association for Computational …, 2018 | 3291 | 2018 |
| 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, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 590-597, 2019 | 3034 | 2019 |
| 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 25 (1), 65-69, 2019 | 2791 | 2019 |
| AI in health and medicine P Rajpurkar, E Chen, O Banerjee, EJ Topol Nature Medicine 28 (1), 31-38, 2022 | 1891 | 2022 |
| 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 15 (11), e1002686, 2018 | 1314 | 2018 |
| Foundation models for generalist medical artificial intelligence M Moor, O Banerjee, ZSH Abad, HM Krumholz, J Leskovec, EJ Topol, ... Nature 616 (7956), 259-265, 2023 | 1079 | 2023 |
| Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks P Rajpurkar, AY Hannun, M Haghpanahi, C Bourn, AY Ng arXiv preprint arXiv:1707.01836, 2017 | 1016 | 2017 |
| An Empirical Evaluation of Deep Learning on Highway Driving B Huval, T Wang, S Tandon, J Kiske, W Song, J Pazhayampallil, ... arXiv preprint arXiv:1504.01716, 2015 | 988 | 2015 |
| Multimodal biomedical AI JN Acosta, GJ Falcone, P Rajpurkar, EJ Topol Nature Medicine 28 (9), 1773-1784, 2022 | 718 | 2022 |
| 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 15 (11), e1002699, 2018 | 707 | 2018 |
| 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, ... 1st Conference on Medical Imaging with Deep Learning, 2017 | 482* | 2017 |
| Self-supervised learning in medicine and healthcare R Krishnan, P Rajpurkar, EJ Topol Nature Biomedical Engineering 6 (12), 1346-1352, 2022 | 426 | 2022 |
| 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 Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 338 | 2020 |
| 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 6 (12), 1399-1406, 2022 | 298 | 2022 |
| The Current and Future State of AI Interpretation of Medical Images P Rajpurkar, MP Lungren New England Journal of Medicine 388 (21), 1981-1990, 2023 | 270 | 2023 |
| 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 3 (1), 23, 2020 | 263 | 2020 |
| 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 2 (6), e195600-e195600, 2019 | 256 | 2019 |
| 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 (ML4H), 353-367, 2023 | 236 | 2023 |
Andrew NgStanford UniversityVahvistettu sähköpostiosoite verkkotunnuksessa cs.stanford.edu
Matthew LungrenChief Scientific Officer Microsoft HLS, Adjunct Professor StanfordVahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu
Curtis P. LanglotzProfessor of Radiology, Medicine, and Biomedical Data Science, Stanford UniversityVahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu
Oishi BanerjeePhD. Student, Harvard UniversityVahvistettu sähköpostiosoite verkkotunnuksessa g.harvard.eduEric TopolProfessor and EVP, Scripps ResearchVahvistettu sähköpostiosoite verkkotunnuksessa scripps.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVahvistettu sähköpostiosoite verkkotunnuksessa cs.stanford.edu
Julián Nicolás AcostaDepartment of Biomedical Informatics, Harvard Medical SchoolVahvistettu sähköpostiosoite verkkotunnuksessa hms.harvard.edu
Emma ChenHarvard UniversityVahvistettu sähköpostiosoite verkkotunnuksessa g.harvard.edu
Geoffrey H Tison MD, MPHDivision of Cardiology, University of California, San FranciscoVahvistettu sähköpostiosoite verkkotunnuksessa ucsf.edu
Awni HannunMachine Learning Research, AppleVahvistettu sähköpostiosoite verkkotunnuksessa apple.com
Sanjay Basu, MD, PhDVahvistettu sähköpostiosoite verkkotunnuksessa hms.harvard.edu
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityVahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu