Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort. - Gang Fang; Izabela E. Annis; Jennifer Elston-Lafata; Samuel Cykert (J. Am. Medical Informatics Assoc., 2019)

Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions. - Jihyun Park; Dimitrios Kotzias; Patty Kuo; Robert L. Logan IV; Kritzia Merced; Sameer Singh 001; Michael Tanana; Efi Karra Taniskidou; Jennifer Elston-Lafata; David C. Atkins; Ming Tai-Seale; Zac E. Imel; et al. (J. Am. Medical Informatics Assoc., 2019)

Challenges and opportunities using online portals to recruit diverse patients to behavioral trials. - Amir Alishahi Tabriz; Patrice Jordan Fleming; Yongyun Shin; Ken Resnicow; Resa M. Jones; Susan A. Flocke; Deirdre A. Shires; Sarah T. Hawley; David Willens; Jennifer Elston-Lafata (J. Am. Medical Informatics Assoc., 2019)

Automatic speech recognition performance for digital scribes: a performance comparison between general-purpose and specialized models tuned for patient-clinician conversations. - Brian D. Tran; Ming Tai-Seale; Ramya Mangu; Jennifer Lafata; Kai Zheng 002 (AMIA, 2022)

"Mm-hm," "Uh-uh": are non-lexical conversational sounds deal breakers for the ambient clinical documentation technology? - Brian D. Tran; Kareem Latif; Tera L. Reynolds; Jihyun Park; Jennifer Elston-Lafata; Ming Tai-Seale; Kai Zheng 002 (J. Am. Medical Informatics Assoc., 2023)