199680Pranav Rajpurkar, Ph.D.PranavRajpurkarprr712

Harvard Medical SchoolCountway Lib, Office 305, DBMI10 Shattuck StBoston, MA 02115

HMSHarvard Medical SchoolBiomedical InformaticsAssociate Professor of Biomedical InformaticsAssociate ProfessorHMSHarvard Medical SchoolCorporate LearningTemporary AcademicAssociate Professorhttps://connects.catalyst.harvard.edu/Profiles/profile/1829149407100k72UsN4uDXHVXmkVbGmtxh4ZEB+mrCDURfkzhp374GA=https://connects.catalyst.harvard.edu/Profiles/profile/322971337Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey. Radiology. 2026 Feb; 318(2):e250913.https://connects.catalyst.harvard.edu/Profiles/profile/322969232Critically Appraising the Wellness Movement: Cost Without Value, A Narrative Review. J Gen Intern Med. 2026 Jan 05.https://connects.catalyst.harvard.edu/Profiles/profile/322988147Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition. Nat Commun. 2025 Dec 11; 16(1):11053.https://connects.catalyst.harvard.edu/Profiles/profile/322958485Catalyzing Health AI by Fixing Payment Systems. NEJM AI. 2025 Dec; 2(12).https://connects.catalyst.harvard.edu/Profiles/profile/322971236NotifAI-OS: an AI framework for automated CT-based opportunistic screening in post-acute value-based care. Nat Biomed Eng. 2025 Nov; 9(11):1791-1796.https://connects.catalyst.harvard.edu/Profiles/profile/322951664Human-Artificial Intelligence (AI) Interactions: A Conversation With Pranav Rajpurkar, From the AJR Video Series on AI in Radiology. AJR Am J Roentgenol. 2025 Dec; 225(6):e2534003.https://connects.catalyst.harvard.edu/Profiles/profile/322965852The Financial, Operational, and Clinical Advantages of Generalist Radiology AI. Radiology. 2025 Sep; 316(3):e242362.https://connects.catalyst.harvard.edu/Profiles/profile/322949615Towards trustworthy artificial intelligence in musculoskeletal medicine: A narrative review on uncertainty quantification. Knee Surg Sports Traumatol Arthrosc. 2025 Sep; 33(9):3418-3437.https://connects.catalyst.harvard.edu/Profiles/profile/322930686Optimizing AI solutions for population health in primary care. NPJ Digit Med. 2025 Jul 12; 8(1):434.https://connects.catalyst.harvard.edu/Profiles/profile/322929981A perspective for adapting generalist AI to specialized medical AI applications and their challenges. NPJ Digit Med. 2025 Jul 11; 8(1):429.https://connects.catalyst.harvard.edu/Profiles/profile/322929975The generative era of medical AI. Cell. 2025 Jul 10; 188(14):3648-3660.https://connects.catalyst.harvard.edu/Profiles/profile/322953180Beyond Assistance: The Case for Role Separation in AI-Human Radiology Workflows. Radiology. 2025 Jul; 316(1):e250477.https://connects.catalyst.harvard.edu/Profiles/profile/322964865MC-MED, multimodal clinical monitoring in the emergency department. Sci Data. 2025 Jul 01; 12(1):1094.https://connects.catalyst.harvard.edu/Profiles/profile/322949481How generative AI voice agents will transform medicine. NPJ Digit Med. 2025 Jun 12; 8(1):353.https://connects.catalyst.harvard.edu/Profiles/profile/282589560Multimodal generative AI for interpreting 3D medical images and videos. NPJ Digit Med. 2025 May 13; 8(1):273.https://connects.catalyst.harvard.edu/Profiles/profile/282588274A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration. Sci Data. 2025 May 03; 12(1):739.https://connects.catalyst.harvard.edu/Profiles/profile/282593768A large model for non-invasive and personalized management of breast cancer from multiparametric MRI. Nat Commun. 2025 Apr 17; 16(1):3647.https://connects.catalyst.harvard.edu/Profiles/profile/282582698Coordinated AI agents for advancing healthcare. Nat Biomed Eng. 2025 Apr; 9(4):432-438.https://connects.catalyst.harvard.edu/Profiles/profile/282586255Multimodal generative AI for medical image interpretation. Nature. 2025 Mar; 639(8056):888-896.https://connects.catalyst.harvard.edu/Profiles/profile/279586119From data to artificial intelligence: evaluating the readiness of gastrointestinal endoscopy datasets. J Can Assoc Gastroenterol. 2025 Mar; 8(Suppl 2):S81-S86.https://connects.catalyst.harvard.edu/Profiles/profile/269840782A clinical certification pathway for generalist medical AI systems. Lancet. 2025 Jan 04; 405(10472):20.https://connects.catalyst.harvard.edu/Profiles/profile/269848242An evaluation framework for clinical use of large language models in patient interaction tasks. Nat Med. 2025 Jan; 31(1):77-86.https://connects.catalyst.harvard.edu/Profiles/profile/269842212ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports. Pac Symp Biocomput. 2025; 30:70-81.https://connects.catalyst.harvard.edu/Profiles/profile/269838991ReXamine-Global: A Framework for Uncovering Inconsistencies in Radiology Report Generation Metrics. Pac Symp Biocomput. 2025; 30:185-198.https://connects.catalyst.harvard.edu/Profiles/profile/265020705Reimbursement in the age of generalist radiology artificial intelligence. NPJ Digit Med. 2024 Dec 02; 7(1):350.https://connects.catalyst.harvard.edu/Profiles/profile/260499918Generating Synthetic Data for Medical Imaging. Radiology. 2024 Sep; 312(3):e232471.https://connects.catalyst.harvard.edu/Profiles/profile/240857642Implications of Race Adjustment in Lung-Function Equations. N Engl J Med. 2024 06 13; 390(22):2083-2097.https://connects.catalyst.harvard.edu/Profiles/profile/240850130Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review. Lancet Digit Health. 2024 05; 6(5):e367-e373.https://connects.catalyst.harvard.edu/Profiles/profile/235576078Heterogeneity and predictors of the effects of AI assistance on radiologists. Nat Med. 2024 03; 30(3):837-849.https://connects.catalyst.harvard.edu/Profiles/profile/227296630The MAIDA initiative: establishing a framework for global medical-imaging data sharing. Lancet Digit Health. 2024 01; 6(1):e6-e8.https://connects.catalyst.harvard.edu/Profiles/profile/225308698A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring. Nat Biomed Eng. 2025 Apr; 9(4):445-454.https://connects.catalyst.harvard.edu/Profiles/profile/221330820Autonomous AI systems in the face of liability, regulations and costs. NPJ Digit Med. 2023 Oct 06; 6(1):185.https://connects.catalyst.harvard.edu/Profiles/profile/221329337AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions. Cell Rep Med. 2023 10 17; 4(10):101207.https://connects.catalyst.harvard.edu/Profiles/profile/220723496Evaluating progress in automatic chest X-ray radiology report generation. Patterns (N Y). 2023 Sep 08; 4(9):100802.https://connects.catalyst.harvard.edu/Profiles/profile/215492861The Current and Future State of AI Interpretation of Medical Images. N Engl J Med. 2023 05 25; 388(21):1981-1990.https://connects.catalyst.harvard.edu/Profiles/profile/215496351Foundation models for generalist medical artificial intelligence. Nature. 2023 04; 616(7956):259-265.https://connects.catalyst.harvard.edu/Profiles/profile/215481772Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer. Cell Rep Med. 2023 04 18; 4(4):101013.https://connects.catalyst.harvard.edu/Profiles/profile/215499032Predicting patient decompensation from continuous physiologic monitoring in the emergency department. NPJ Digit Med. 2023 Apr 04; 6(1):60.https://connects.catalyst.harvard.edu/Profiles/profile/215486447Targeted plasma metabolomics combined with machine learning for the diagnosis of severe acute respiratory syndrome virus type 2. Front Microbiol. 2022; 13:1059289.https://connects.catalyst.harvard.edu/Profiles/profile/205194605A proof of concept for a deep learning system that can aid embryologists in predicting blastocyst survival after thaw. Sci Rep. 2022 12 07; 12(1):21119.https://connects.catalyst.harvard.edu/Profiles/profile/203384899Transfer learning enables prediction of myocardial injury from continuous single-lead electrocardiography. J Am Med Inform Assoc. 2022 10 07; 29(11):1908-1918.https://connects.catalyst.harvard.edu/Profiles/profile/203375681Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning. Nat Biomed Eng. 2022 12; 6(12):1399-1406.https://connects.catalyst.harvard.edu/Profiles/profile/203393624Multimodal biomedical AI. Nat Med. 2022 09; 28(9):1773-1784.https://connects.catalyst.harvard.edu/Profiles/profile/203388014Self-supervised learning in medicine and healthcare. Nat Biomed Eng. 2022 12; 6(12):1346-1352.https://connects.catalyst.harvard.edu/Profiles/profile/195976726The Need for Medical Artificial Intelligence That Incorporates Prior Images. Radiology. 2022 08; 304(2):283-288.https://connects.catalyst.harvard.edu/Profiles/profile/190531838AI in health and medicine. Nat Med. 2022 01; 28(1):31-38.https://connects.catalyst.harvard.edu/Profiles/profile/190923857Contrastive learning of heart and lung sounds for label-efficient diagnosis. Patterns (N Y). 2022 Jan 14; 3(1):100400.https://connects.catalyst.harvard.edu/Profiles/profile/185848339CheXED: Comparison of a Deep Learning Model to a Clinical Decision Support System for Pneumonia in the Emergency Department. J Thorac Imaging. 2022 May 01; 37(3):162-167.https://connects.catalyst.harvard.edu/Profiles/profile/184827428Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza. EBioMedicine. 2021 Sep; 71:103546.https://connects.catalyst.harvard.edu/Profiles/profile/183138168A machine learning algorithm can optimize the day of trigger to improve in vitro fertilization outcomes. Fertil Steril. 2021 11; 116(5):1227-1235.https://connects.catalyst.harvard.edu/Profiles/profile/183414012Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records. JAMA Netw Open. 2021 07 01; 4(7):e2117391.https://connects.catalyst.harvard.edu/Profiles/profile/183137398Automated coronary calcium scoring using deep learning with multicenter external validation. NPJ Digit Med. 2021 Jun 01; 4(1):88.https://connects.catalyst.harvard.edu/Profiles/profile/183137159Improving hospital readmission prediction using individualized utility analysis. J Biomed Inform. 2021 07; 119:103826.https://connects.catalyst.harvard.edu/Profiles/profile/183137040DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set. Sci Data. 2021 05 20; 8(1):135.https://connects.catalyst.harvard.edu/Profiles/profile/183137716CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV. NPJ Digit Med. 2020; 3:115.https://connects.catalyst.harvard.edu/Profiles/profile/185562119CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV. NPJ Digit Med. 2020 Sep 09; 3(1):115.https://connects.catalyst.harvard.edu/Profiles/profile/183138349Erratum: Author Correction: PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. NPJ Digit Med. 2020; 3:102.https://connects.catalyst.harvard.edu/Profiles/profile/183137493Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open. 2020 06 01; 3(6):e206653.https://connects.catalyst.harvard.edu/Profiles/profile/183138027Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments. BMC Public Health. 2020 May 01; 20(1):608.https://connects.catalyst.harvard.edu/Profiles/profile/183137384PENet-a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. NPJ Digit Med. 2020; 3:61.https://connects.catalyst.harvard.edu/Profiles/profile/183137740AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining. Sci Rep. 2020 03 03; 10(1):3958.https://connects.catalyst.harvard.edu/Profiles/profile/183137383Impact of a deep learning assistant on the histopathologic classification of liver cancer. NPJ Digit Med. 2020; 3:23.https://connects.catalyst.harvard.edu/Profiles/profile/183137004Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. NPJ Digit Med. 2019 Dec 10; 2(1):129.https://connects.catalyst.harvard.edu/Profiles/profile/183138070Erratum: Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. NPJ Digit Med. 2019; 2:129.https://connects.catalyst.harvard.edu/Profiles/profile/183137593Human-machine partnership with artificial intelligence for chest radiograph diagnosis. NPJ Digit Med. 2019; 2:111.https://connects.catalyst.harvard.edu/Profiles/profile/183138386Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model. JAMA Netw Open. 2019 06 05; 2(6):e195600.https://connects.catalyst.harvard.edu/Profiles/profile/183138446Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy. Circ Cardiovasc Qual Outcomes. 2019 03; 12(3):e005010.https://connects.catalyst.harvard.edu/Profiles/profile/183138853Publisher Correction: Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nat Med. 2019 Mar; 25(3):530.https://connects.catalyst.harvard.edu/Profiles/profile/183138592Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nat Med. 2019 01; 25(1):65-69.https://connects.catalyst.harvard.edu/Profiles/profile/183137010Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet. PLoS Med. 2018 11; 15(11):e1002699.https://connects.catalyst.harvard.edu/Profiles/profile/183137268Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLoS Med. 2018 11; 15(11):e1002686.Artificial IntelligenceMedicineDiagnostic ImagingRadiologyComputational BiologyRamin Khorasani, M.D.,C.M.Eyal Klang, M.D.Keith Jay Dreyer, D.O., Ph.D.Maurizio Fava, M.D.David Westfall Bates, M.D.Berzin, TylerVan Allen, EliezerManrai, ArjunDiao, James