It's not just a last mile problem: Partnering with process improvement and human factors to integrate machine learning into healthcare delivery. - Ron C. Li; Naveen Muthu; Margaret Smith; Swaminathan Kandaswamy; Jonathan H. Chen (AMIA, 2020)

Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video. - Marc Bosch; Joseph Nassar; Benjamin Ortiz; Brendan Lammers; David Lindenbaum; John Wahl; Robert Mangum; Margaret Smith (CoRR, 2020)

A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning. - Benjamin Ortiz; David Lindenbaum; Joseph Nassar; Brendan Lammers; John Wahl; Robert Mangum; Margaret Smith; Marc Bosch (CoRR, 2020)

A framework for making predictive models useful in practice. - Kenneth Jung; Sehj Kashyap; Anand Avati; Stephanie Harman; Heather Shaw; Ron C. Li; Margaret Smith; Kenny Shum; Jacob Javitz; Yohan Vetteth; Tina Seto; Steven C. Bagley; et al. (J. Am. Medical Informatics Assoc., 2021)

Considerations in the reliability and fairness audits of predictive models for advance care planning. - Jonathan Lu; Amelia Sattler; Samantha Wang; Ali Raza Khaki; Alison Callahan; Scott L. Fleming; Rebecca Fong; Benjamin Ehlert; Ron C. Li; Lisa Shieh; Kavitha Ramchandran; Michael Gensheimer 001; et al. (Frontiers Digit. Health, 2022)

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)