Numeracy and Understanding of Quantitative Aspects of Predictive Models: A Pilot Study. - Gary E. Weissman; Kuldeep Yadav; Vanessa Madden; Katherine R. Courtright; Joanna Hart; David Asch; Marilyn Schapira; Scott D. Halpern (Appl. Clin. Inform., 2018)

Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness. - Gary E. Weissman; Lyle H. Ungar; Michael O. Harhay; Katherine R. Courtright; Scott D. Halpern (J. Biomed. Informatics, 2019)

Identifying Actionable Aspects of Frailty in the Text of Encounter Notes. - Jacob A. Martin; Andrew Crane-Droesch; Folasade C. Lapite; Joseph C. Puhl; Jasmine A. Silvestri; Bruce P. Kinosian; Blanca E. Himes; Rebecca A. Hubbard; Vivek N. Ahya; Michael W. Sims; Joshua M. Diamond; Joseph Adler; et al. (AMIA, 2020)

Development and validation of a prediction model for actionable aspects of frailty in the text of clinicians' encounter notes. - Jacob A. Martin; Andrew Crane-Droesch; Folasade C. Lapite; Joseph C. Puhl; Tyler E. Kmiec; Jasmine A. Silvestri; Lyle H. Ungar; Bruce P. Kinosian; Blanca E. Himes; Rebecca A. Hubbard; Joshua M. Diamond; Vivek N. Ahya; et al. (J. Am. Medical Informatics Assoc., 2021)

Identifying Patients from Sentences: A Label-to-Label Classification Model to Predict Who May Benefit from Pulmonary Rehabilitation. - Jacob A. Martin; Arnab Chowdhury; Gary E. Weissman (AMIA, 2022)

Monitoring Performance of a Deployed Machine Learning Model that Predicts Long-term Mortality for Targeting Inpatient Palliative Care. - Sameh N. Saleh; Corey Chivers; Jason Lubken; Katherine R. Courtright; Gary E. Weissman; Daniel Herman (AMIA, 2022)

Word embeddings trained on published case reports are lightweight, effective for clinical tasks, and free of protected health information. - Zachary N. Flamholz; Andrew Crane-Droesch; Lyle H. Ungar; Gary E. Weissman (J. Biomed. Informatics, 2022)

A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure. - Rachel Kohn; Michael O. Harhay; Gary E. Weissman; Ryan J. Urbanowicz; Wei Wang; George L. Anesi; Stefania Scott; Brian Bayes; S. Ryan Greysen; Scott D. Halpern; Meeta Prasad Kerlin (J. Medical Syst., 2023)

Lessons for local oversight of AI in medicine from the regulation of clinical laboratory testing. - Daniel S. Herman; Jenna T. Reece; Gary E. Weissman (npj Digit. Medicine, 2024)

Unregulated large language models produce medical device-like output. - Gary E. Weissman; Toni Mankowitz; Genevieve P. Kanter (npj Digit. Medicine, 2025)