Machine Learning for Medical Language
Domain adaptation
Patient representation learning
Large language models
MLML    Bluesky    Email PI Tim Miller Computational Health Informatics Program

Recent MLML lab publications

Wunnava S, Miller TA, Nathan M, Bourgeois FT. FDA Approval of Cardiac Valve Devices Implanted in a National Cohort of Pediatric Patients, 2016-2022. JAMA Pediatr. Published online March 24, 2025. doi:10.1001/jamapediatrics.2025.0131 (Details)

Gao Y, Li R, Croxford E, Caskey J, Patterson BW, Churpek M, Miller T, Dligach D, Afshar M. Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study. JMIR AI 2025;4:e58670. doi: 10.2196/58670 (Details)

Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S Bitterman, Guanhua Chen, Anoop Mayampurath, Matthew M Churpek, Majid Afshar, Uncertainty estimation in diagnosis generation from large language models: next-word probability is not pre-test probability, JAMIA Open, Volume 8, Issue 1, February 2025, ooae154, https://doi.org/10.1093/jamiaopen/ooae154 (Details)

Gallifant, J., Afshar, M., Ameen, S. et al. The TRIPOD-LLM reporting guideline for studies using large language models. Nat Med 31, 60–69 (2025). https://doi.org/10.1038/s41591-024-03425-5 (Details)

Skatje Myers, Timothy A Miller, Yanjun Gao, Matthew M Churpek, Anoop Mayampurath, Dmitriy Dligach, Majid Afshar, Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies, Journal of the American Medical Informatics Association, Volume 32, Issue 2, February 2025, Pages 357–364, https://doi.org/10.1093/jamia/ocae308 (Details)

Computational Health Informatics Program, Boston Children's Hospital 401 Park Dr., Boston, MA 02115