Development and validation of an electronic medical record (EMR)-based computed phenotype of HIV-1 infection. - Devon W. Paul; Nigel B. Neely; Meredith Clement; Isaretta L. Riley; Mashael Al-Hegelan; Matthew Phelan; Monica Kraft; David M. Murdoch; Joseph E. Lucas; John Bartlett; Mehri McKellar; Loretta G. Que (J. Am. Medical Informatics Assoc., 2018)

Generative Large Language Models are autonomous practitioners of evidence-based medicine. - Akhil Vaid; Joshua Lampert; Juhee Lee; Ashwin Sawant; Donald Apakama; Ankit Sakhuja; Ali Soroush; Denise Lee; Isotta Landi; Nicole Bussola; Ismail Nabeel; Robbie Freeman; et al. (CoRR, 2024)

A strategy for cost-effective large language model use at health system-scale. - Eyal Klang; Donald Apakama; Ethan E. Abbott; Akhil Vaid; Joshua Lampert; Ankit Sakhuja; Robert Freeman; Alexander W. Charney; David Reich; Monica Kraft; Girish N. Nadkarni; Benjamin S. Glicksberg (npj Digit. Medicine, 2024)

SHAP-Prioritised Machine Learning for Diagnostic-Grade Prediction of Lung Function. - Oliver Pitts; Salman Siddiqui; Anand Shah; Alex Bell; Christopher Brightling; David Singh; Janwillem Kocks; Leonardo Fabbri; Alberto Papi; Klaus Rabe; Maarten Van Den Berge; Monica Kraft; et al. (ICCS (Workshops 4), 2025)

A distributional reinforcement learning model for optimal glucose control after cardiac surgery. - Jacob Desman; Zhang-Wei Hong; Moein Sabounchi; Ashwin S. Sawant; Jaskirat Gill; Ana C. Costa; Gagan Kumar; Rajeev Sharma; Arpeta Gupta; Paul McCarthy; Veena Nandwani; Doug Powell; et al. (npj Digit. Medicine, 2025)