Ambient artificial intelligence scribes: utilization and impact on documentation time. - Stephen P. Ma; April S. Liang; Shreya J. Shah; Margaret Smith; Yejin Jeong; Anna Devon-Sand; Trevor Crowell; Clarissa Delahaie; Caroline Hsia; Steven Lin; Tait D. Shanafelt; Michael A. Pfeffer; et al. (J. Am. Medical Informatics Assoc., 2025)

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden. - Shreya J. Shah; Anna Devon-Sand; Stephen P. Ma; Yejin Jeong; Trevor Crowell; Margaret Smith; April S. Liang; Clarissa Delahaie; Caroline Hsia; Tait D. Shanafelt; Michael A. Pfeffer; Christopher D. Sharp; et al. (J. Am. Medical Informatics Assoc., 2025)

Clinical entity augmented retrieval for clinical information extraction. - Iván López; Akshay Swaminathan; Karthik S. Vedula; Sanjana Narayanan; Fateme Nateghi Haredasht; Stephen P. Ma; April S. Liang; Steven Tate; Manoj Maddali; Robert Gallo; Nigam H. Shah; Jonathan H. Chen (npj Digit. Medicine, 2025)

VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records. - Philip Chung 005; Akshay Swaminathan; Alex J. Goodell; Yeasul Kim; S. Momsen Reincke; Lichy Han; Ben Deverett; Mohammad Amin Sadeghi; Abdel-Badih Ariss; Marc Ghanem; David Seong; Andrew A. Lee; et al. (CoRR, 2025)

Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records. - Fateme Nateghi Haredasht; Fatemeh Amrollahi; Manoj Maddali; Nicholas Marshall; Stephen P. Ma; Lauren N. Cooper; Richard J. Medford; Sanjat Kanjilal; Niaz Banaei; Stanley Deresinski; Mary K. Goldstein; Steven M. Asch; et al. (CoRR, 2025)

Optimizing Large Language Models for Detecting Symptoms of Comorbid Depression or Anxiety in Chronic Diseases: Insights from Patient Messages. - Jiyeong Kim; Stephen P. Ma; Michael L. Chen; Isaac R. Galatzer-Levy; John B. Torous; Peter J. van Roessel; Christopher D. Sharp; Michael A. Pfeffer; Carolyn I. Rodriguez; Eleni Linos; Jonathan H. Chen (CoRR, 2025)

A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation. - Fatemeh Amrollahi; Nicholas Marshall; Fateme Nateghi Haredasht; Kameron C. Black; Aydin Zahedivash; Manoj Maddali; Stephen P. Ma; Amy Chang; Stanley Deresinski; Mary K. Goldstein; Steven M. Asch; Niaz Banaei; et al. (CoRR, 2025)