ML
Matthew P. Lungren
cs.CVeess.IVcs.LGArtificial Intelligencecs.AIDeep Learningcs.CLRadiologyMachine Learningartificial intelligence
On Valency
published · living versionsW_xe24gwhn·v1 · currentpublished
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
with Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu +15
1 version
W_svtxnew3·v1published
Preprints & journals
191 papers in the corpus · 2006–2026Sequential diagnosis with language models.42912144 · Nori, Harsha, Daswani, Mayank, Kelly, Christopher et al.2026 · 27 citationsScience (New York, N.Y.). 2026;394(6822):423-428
Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.41032170 · Kitamura, Felipe, Kline, Timothy, Warren, Daniel et al.2026 · 1 citationJournal of imaging informatics in medicine. 2026;39(4):3592-3600
Call to Action: Accelerating AI-driven Transformation in Medical Imaging and the Broader Health Care System.42610812 · Moy, Linda, Vargas, Alberto, Gichoya, Judy Wawira et al.2026 · 1 citationRadiology. 2026;320(2):e253974
Evaluating the robustness and readiness of large frontier models in health AI applications.42362863 · Gu, Yu, Fu, Jingjing, Liu, Xiaodong et al.2026 · 4 citationsNature medicine. 2026;32(8):3023-3031
Benchmarks and methods for 3D medical image retrieval.41942526 · Ben Abacha, Asma, Santamaría-Pang, Alberto, Lee, Ho Hin et al.2026 · 0 citationsScientific reports. 2026;16(1)
A clinical environment simulator for dynamic AI evaluation.41820673 · Luo, Luyang, Kim, Sung Eun, Zhang, Xiaoman et al.2026 · 7 citationsNature medicine. 2026;32(3):820-827
Holistic evaluation of large language models for medical tasks with MedHELM.41559415 · Bedi, Suhana, Cui, Hejie, Fuentes, Miguel et al.2026 · 51 citationsNature medicine. 2026;32(3):943-951
From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification.41331658 · Li, Xue, Merkow, Jameson, Codella, Noel C F et al.2026 · 3 citationsJournal of imaging informatics in medicine. 2026;39(4):3196-3207
Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.41031949 · Kitamura, Felipe, Kline, Timothy, Warren, Daniel et al.2025 · 1 citationRadiology. Artificial intelligence. 2025;7(6):e250137
Medical Imaging Data Calls for a Thoughtful and Collaborative Approach to Data Governance.41150677 · Lutz de Araujo, Aline, Wu, Jie, Harvey, Hugh et al.2025 · 5 citationsPLOS digital health. 2025;4(10):e0001046
Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM.41030223 · Kitamura, Felipe, Kline, Timothy, Warren, Daniel et al.2025 · 5 citationsMedical physics. 2025;52(10):e17779
The Illusion of Readiness in Health AI2509.18234v3 · Yu Gu, Jingjing Fu, Xiaodong Liu et al.2025 · 1 citationarXiv
CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation2509.07325v2 · Alyssa Unell, Noel C. F. Codella, Sam Preston et al.2025 · 0 citationsarXiv
Demo: Healthcare Agent Orchestrator (HAO) for Patient Summarization in Molecular Tumor Boards2509.06602v2 · Matthias Blondeel, Noel Codella, Sam Preston et al.2025 · 2 citationsarXiv
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks2505.23802v2 · Suhana Bedi, Hejie Cui, Miguel Fuentes et al.2025 · 11 citationsarXiv
A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration.40319039 · Moehring, Alex, Kutwal, Manasi, Huang, Ray et al.2025 · 3 citationsScientific data. 2025;12(1):739
Datasheet for the IDHea Primary Care Screening Dataset: A Real-World Ocular Imaging Resource for Research10.1101/2025.04.29.25326705v1 · Chopra, R., Guzman, A., Uotila, J. et al.2025 · 0 citationsmedRxiv
Datasheet for the IDHea Primary Eye Care Dataset: A Real-World Ocular Imaging Resource for Research10.1101/2025.04.29.25326706v3 · Chopra, R., Guzman, A., Hsiao, Y. S. et al.2025 · 0 citationsmedRxiv
A Systematic Review and Implementation Guidelines of Multimodal Foundation Models in Medical Imaging.40343333 · Huang, Shih-Cheng, Jensen, Malte, Yeung-Levy, Serena et al.2025 · 14 citationsResearch square. 2025
A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings.40169573 · Zambrano Chaves, Juan Manuel, Huang, Shih-Cheng, Xu, Yanbo et al.2025 · 44 citationsNature communications. 2025;16(1):3108
Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations2503.10057v1 · Ho Hin Lee, Alberto Santamaria-Pang, Jameson Merkov et al.2025 · 0 citationsarXiv
Current State of Community-Driven Radiological AI Deployment in Medical Imaging.39653370 · Gupta, Vikash, Erdal, Barbaros, Ramirez, Carolina et al.2025 · 34 citationsJMIR AI. 2024;3:e55833
Developing a Research Center for Artificial Intelligence in Medicine.39802660 · Langlotz, Curtis P, Kim, Johanna, Shah, Nigam et al.2025 · 15 citationsMayo Clinic proceedings. Digital health. 2024;2(4):677-686
Multimodal Foundation Models for Medical Imaging - A Systematic Review and Implementation Guidelines10.1101/2024.10.23.24316003v1 · Huang, S.-C., Jensen, M. E. K., Yeung-Levy, S. et al.2024 · 13 citationsmedRxiv
Scalable Drift Monitoring in Medical Imaging AI2410.13174v3 · Jameson Merkow, Felix J. Dorfner, Xiyu Yang et al.2024 · 2 citationsarXiv
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging2410.06542v1 · Noel C. F. Codella, Ying Jin, Shrey Jain et al.2024 · 4 citationsarXiv
Generating Synthetic Data for Medical Imaging.39254456 · Koetzier, Lennart R, Wu, Jie, Mastrodicasa, Domenico et al.2024 · 109 citationsRadiology. 2024;312(3):e232471
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers.39096845 · Chen, Jieneng, Mei, Jieru, Li, Xianhang et al.2024 · 1,383 citationsMedical image analysis. 2024;97:103280
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts.38984986 · Linguraru, Marius George, Bakas, Spyridon, Aboian, Mariam et al.2024 · 34 citationsRadiology. Artificial intelligence. 2024;6(4):e240225
Deep learning to detect left ventricular structural abnormalities in chest X-rays.38503537 · Bhave, Shreyas, Rodriguez, Victor, Poterucha, Timothy et al.2024 · 38 citationsEuropean heart journal. 2024;45(22):2002-2012
MAIRA-2: Grounded Radiology Report Generation2406.04449v2 · Shruthi Bannur, Kenza Bouzid, Daniel C. Castro et al.2024 · 19 citationsarXiv
Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs.38844459 · Pyrros, Ayis, Borstelmann, Stephen M, Mantravadi, Ramana et al.2024 · 0 citationsNature communications. 2024;15(1):4817
Ensuring useful adoption of generative artificial intelligence in healthcare.38452298 · Jindal, Jenelle A, Lungren, Matthew P, Shah, Nigam H2024 · 62 citationsJournal of the American Medical Informatics Association : JAMIA. 2024;31(6):1441-1444
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology2405.05299v1 · Anja Thieme, Abhijith Rajamohan, Benjamin Cooper et al.2024 · 10 citationsarXiv
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.38477659 · Kitamura, Felipe C, Prevedello, Luciano M, Colak, Errol et al.2024 · 12 citationsRadiology. Artificial intelligence. 2024;6(3):e230227
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology2402.14252v1 · Nur Yildirim, Hannah Richardson, Maria T. Wetscherek et al.2024 · 82 citationsarXiv
Reply.38302045 · Lungren, Matthew P, Fishman, Elliot K, Chu, Linda C et al.2024 · 0 citationsJournal of the American College of Radiology : JACR. 2024;21(7):991-992
Exploring scalable medical image encoders beyond text supervision2401.10815v3 · Fernando P'erez-Garc'ia, Harshita Sharma, Sam Bond-Taylor et al.2024 · 88 citationsNature Machine Intelligence (2025)
RadEdit: stress-testing biomedical vision models via diffusion image editing2312.12865v3 · Fernando P'erez-Garc'ia, Sam Bond-Taylor, Pedro P. Sanchez et al.2023 · 16 citationsEuropean Conference on Computer Vision (ECCV) 2024
More Is Different: Large Language Models in Health Care.38043632 · Lungren, Matthew P, Fishman, Elliot K, Chu, Linda C et al.2024 · 15 citationsJournal of the American College of Radiology : JACR. 2024;21(7):1151-1154
3D-MIR: A Benchmark and Empirical Study on 3D Medical Image Retrieval in Radiology2311.13752v1 · Asma Ben Abacha, Alberto Santamaria-Pang, Ho Hin Lee et al.2023 · 2 citationsarXiv
MAIRA-1: A specialised large multimodal model for radiology report generation2311.13668v3 · Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid et al.2023 · 16 citationsarXiv
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis2311.10798v1 · Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg et al.2023 · 9 citationsarXiv
Exploring the Boundaries of GPT-4 in Radiology2310.14573v1 · Qianchu Liu, Stephanie Hyland, Shruthi Bannur et al.2023 · 25 citationsarXiv
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys2310.10765v3 · Yu Gu, Jianwei Yang, Naoto Usuyama et al.2023 · 12 citationsarXiv
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers2310.07781v1 · Jieneng Chen, Jieru Mei, Xianhang Li et al.2023 · 37 citationsarXiv
AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions.37769656 · Sanchez, Morgan, Alford, Kyle, Krishna, Viswesh et al.2023 · 12 citationsCell reports. Medicine. 2023;4(10):101207
Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs.37419921 · Pyrros, Ayis, Borstelmann, Stephen M, Mantravadi, Ramana et al.2023 · 60 citationsNature communications. 2023;14(1):4039
The Current and Future State of AI Interpretation of Medical Images.37224199 · Rajpurkar, Pranav, Lungren, Matthew P2023 · 442 citationsThe New England journal of medicine. 2023;388(21):1981-1990
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery2304.13714v3 · Debadutta Dash, Rahul Thapa, Juan M. Banda et al.2023 · 33 citationsarXiv
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