Rajpurkar, Pranav

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Rajpurkar, P., Zhang, J., Lopyrev, K., & Liang, P. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 6,208

AI in health and medicine

Rajpurkar, P., Chen, E., Banerjee, O., & Topol, E. J. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 3,212

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

Hannun, A. Y., Rajpurkar, P., Haghpanahi, M., Tison, G. H., Bourn, C., Turakhia, M. P., & Ng, A. Y. (2019) · Nature Medicine

ECG Monitoring and AnalysisCardiac electrophysiology and arrhythmias

Cited by 3,148

Know What You Don't Know: Unanswerable Questions for SQuAD

Rajpurkar, P., Jia, R., & Liang, P. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2,242

Know What You Don’t Know: Unanswerable Questions for SQuAD

Rajpurkar, P., Jia, R., & Liang, P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 2,240

Foundation models for generalist medical artificial intelligence

Moor, M., Banerjee, O., Abad, Z. S. H., Krumholz, H. M., Leskovec, J., Topol, E. J., & Rajpurkar, P. (2023) · Nature

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 2,028

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

Rajpurkar, P., Irvin, J., Ball, R. L., Zhu, K., Yang, B., Mehta, H., Duan, T., Ding, D., Bagul, A., Langlotz, C. P., et al. (2018) · PLOS Medicine

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 1,449

Multimodal biomedical AI

Acosta, J. N., Falcone, G. J., Rajpurkar, P., & Topol, E. J. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 1,365

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Bien, N., Rajpurkar, P., Ball, R. L., Irvin, J., Park, A., Jones, E., Bereket, M., Patel, B. N., Yeom, K. W., Shpanskaya, K., et al. (2018) · PLOS Medicine

Artificial Intelligence in Healthcare and EducationMedical Imaging and Analysis

Cited by 734

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Rajpurkar, P., Zhang, J., Lopyrev, K., & Liang, P. (2016) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 678

Self-supervised learning in medicine and healthcare

Krishnan, R., Rajpurkar, P., & Topol, E. J. (2022) · Nature Biomedical Engineering

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 605

An Empirical Evaluation of Deep Learning on Highway Driving

Huval, B., Wang, T., Tandon, S., Kiske, J., Song, W., Pazhayampallil, J., Andriluka, M., Rajpurkar, P., Migimatsu, T., Cheng-Yue, R., et al. (2015) · arXiv

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 537

The current and future state of AI interpretation of medical images

Rajpurkar, P., & Lungren, M. P. (2023) · New England Journal of Medicine

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 443

Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning

Tiu, E., Talius, E., Patel, P., Langlotz, C. P., Ng, A. Y., & Rajpurkar, P. (2022) · Nature Biomedical Engineering

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 442

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., Marklund, H., Haghgoo, B., Ball, R., Shpanskaya, K., et al. (2019) · arXiv

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 392

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., Marklund, H., Haghgoo, B., Ball, R., Shpanskaya, K., et al. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 392

Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review

Han, R., Acosta, J. N., Shakeri, Z., Ioannidis, J. P. A., Topol, E. J., & Rajpurkar, P. (2024) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 336

Impact of a deep learning assistant on the histopathologic classification of liver cancer

Kiani, A., Uyumazturk, B., Rajpurkar, P., Wang, A., Gao, R., Jones, E., Yu, Y., Langlotz, C. P., Ball, R. L., Montine, T. J., et al. (2020) · npj Digital Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 325

Benchmarking saliency methods for chest X-ray interpretation

Saporta, A., Gui, X., Agrawal, A., Pareek, A., Truong, S. Q. H., Nguyen, C. D. T., Ngo, V.-D., Seekins, J., Blankenberg, F. G., Ng, A. Y., et al. (2022) · Nature Machine Intelligence

Explainable Artificial Intelligence (XAI)COVID-19 diagnosis using AI

Cited by 270

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Smit, A., Jain, S., Rajpurkar, P., Pareek, A., Ng, A., & Lungren, M. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Multimodal Machine Learning ApplicationsMachine Learning in Healthcare

Cited by 262

Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model

Park, A., Chute, C., Rajpurkar, P., Lou, J., Ball, R. L., Shpanskaya, K., Jabarkheel, R., Kim, L. H., McKenna, E., Tseng, J., et al. (2019) · JAMA Network Open

Intracranial Aneurysms: Treatment and ComplicationsMedical Image Segmentation Techniques

Cited by 258

Human–machine partnership with artificial intelligence for chest radiograph diagnosis

Patel, B. N., Rosenberg, L., Willcox, G., Baltaxe, D., Lyons, M., Irvin, J., Rajpurkar, P., Amrhein, T., Gupta, R., Halabi, S., et al. (2019) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI

Cited by 254

An evaluation framework for clinical use of large language models in patient interaction tasks

Johri, S., Jeong, J., Tran, B. A., Schlessinger, D. I., Wongvibulsin, S., Barnes, L. A., Zhou, H.-Y., Cai, Z. R., Van Allen, E. M., Kim, D., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 201

Heterogeneity and predictors of the effects of AI assistance on radiologists

Yu, F., Moehring, A., Banerjee, O., Salz, T., Agarwal, N., & Rajpurkar, P. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 200