Rajpurkar, Pranav
Harvard University
47 papers on CoChatORCID 0000-0002-8030-3727
Most cited papers
- Verified
Evaluating progress in automatic chest X-ray radiology report generation
Yu, F., Endo, M., Krishnan, R., Pan, I., Tsai, A., Reis, E. P., Fonseca, E. K. U. N., Lee, H. M. H., Abad, Z. S. H., Ng, A. Y., et al. (2023) · Patterns
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 200
- Verified
Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
Agarwal, N., Moehring, A., Rajpurkar, P., & Salz, T. (2023) · National Bureau of Economic Research
Artificial Intelligence in Healthcare and EducationRadiology practices and education
Cited by 161
- Verified
Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
Agarwal, N., Moehring, A., Rajpurkar, P., & Salz, T. (2023) · National Bureau of Economic Research
Artificial Intelligence in Healthcare and EducationRadiology practices and education
Cited by 161
- Verified
CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV
Rajpurkar, P., O’Connell, C., Schechter, A., Asnani, N., Li, J., Kiani, A., Ball, R. L., Mendelson, M., Maartens, G., van Hoving, D. J., et al. (2020) · npj Digital Medicine
COVID-19 diagnosis using AITuberculosis Research and Epidemiology
Cited by 137
- Verified
Generating synthetic data for medical imaging
Koetzier, L. R., Wu, J., Mastrodicasa, D., Lutz, A., Chung, M., Koszek, W. A., Pratap, J., Chaudhari, A. S., Rajpurkar, P., Lungren, M. P., et al. (2024) · Radiology
Artificial Intelligence in Healthcare and EducationGenerative Adversarial Networks and Image Synthesis
Cited by 111
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CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Smit, A., Jain, S., Rajpurkar, P., Pareek, A., Ng, A. Y., & Lungren, M. P. (2020) · arXiv
Multimodal Machine Learning ApplicationsMachine Learning in Healthcare
Cited by 103
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Autonomous AI systems in the face of liability, regulations and costs.
Saenz, A. D., Harned, Z., Banerjee, O., Abràmoff, M. D., & Rajpurkar, P. (2023) · npj Digital Medicine
Artificial Intelligence in Healthcare and EducationMedical Malpractice and Liability Issues
Cited by 83
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Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records
Chi, E. A., Chi, G., Tsui, C. T., Jiang, Y., Jarr, K., Kulkarni, C. V., Zhang, M., Long, J., Ng, A. Y., Rajpurkar, P., et al. (2021) · JAMA Network Open
Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education
Cited by 64
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RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Jain, S., Agrawal, A., Saporta, A., Truong, S. Q., Nguyen Duong, D., Bui, T., Chambon, P., Lungren, M., Ng, A., Langlotz, C., et al. (2021) · PhysioNet
Biomedical Text Mining and OntologiesMachine Learning in Healthcare
Cited by 34
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Development, evaluation, and assessment of large language models (DEAL) checklist: a technical report
Tripathi, S., Alkhulaifat, D., Doo, F. X., Rajpurkar, P., McBeth, R., Daye, D., & Cook, T. S. (2025) · NEJM AI
Topic ModelingNatural Language Processing Techniques
Cited by 31
- Verified
A clinical certification pathway for generalist medical AI systems
Rajpurkar, P., & Topol, E. J. (2025) · The Lancet
Artificial Intelligence in Healthcare and EducationSafety Systems Engineering in Autonomy
Cited by 23
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Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting
Yan, B., Liu, R., Kuo, D., Adithan, S., Reis, E., Kwak, S., Venugopal, V., O’Connell, C., Saenz, A., Rajpurkar, P., et al. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 22
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Improving Radiology Report Generation Systems by Removing Hallucinated References to Non-existent Priors
Ramesh, V., Chi, N. A., & Rajpurkar, P. (2022) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 17
- Verified
Improving hospital readmission prediction using individualized utility analysis
Ko, M., Chen, E., Agrawal, A., Rajpurkar, P., Avati, A., Ng, A., Basu, S., & Shah, N. H. (2021) · Journal of Biomedical Informatics
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 15
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MedVersa: A Generalist Foundation Model for Medical Image Interpretation
Zhou, H.-Y., Acosta, J. N., Adithan, S., Datta, S., Topol, E. J., & Rajpurkar, P. (2024) · arXiv
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 11
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UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Wu, L., Nie, Y., He, S., Zhuang, J., Luo, L., Li, T., Xie, Z., Chen, D., Zhao, Y., Mahboobani, N., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 6
- Verified
Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?
Yuan, G. C., Zhang, X., Kim, S. E., & Rajpurkar, P. (2026) · Proceedings of the 1st Workshop on Linguistic Analysis for Health (HeaLing 2026)
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 4
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CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
Baharoon, M., Heintz, T., Raissi, S., Alabbad, M., Alhammad, M., AlOmaish, H., Kim, S. E., Banerjee, O., & Rajpurkar, P. (2026) · arXiv
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 2
- Verified
Automated Chest X-ray Report Generation Remains Unsolved.
Zhang, X., Acosta, J. N., Yang, X., Adithan, S., Luo, L., Zhou, H.-Y., Miller, J., Huang, O., Zhou, Z., Hamamci, I. E., et al. (2025) · Biocomputing 2026
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 2
- Verified
RadGame: An AI-Powered Platform for Radiology Education
Baharoon, M., Raissi, S., Jun, J. S., Heintz, T., Alabbad, M., Alburkani, A., Kim, S. E., Kleinschmidt, K., Alhumaydhi, A. O., Alghamdi, M. M. G., et al. (2025) · arXiv
Artificial Intelligence in Healthcare and EducationRadiology practices and education
Cited by 1
- Verified
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
Zhang, X., Zhou, H.-Y., Yang, X., Banerjee, O., Acosta, J. N., Baharoon, M., Miller, J., Huang, O., & Rajpurkar, P. (2024) · arXiv
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 1
- Verified
FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
Huang, A., Banerjee, O., Wu, K., Reis, E. P., & Rajpurkar, P. (2024) · arXiv
Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications
Cited by 1
- Verified
ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports
Zhang, X., Acosta, J. N., Miller, J., Huang, O., & Rajpurkar, P. (2025) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 1
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