Machine intelligence in healthcare - perspectives on trustworthiness, explainability, usability, and transparency. - Christine M. Cutillo; Karlie R. Sharma; Luca Foschini 002; Shinjini Kundu; Maxine Mackintosh; Kenneth D. Mandl; Tyler Beck; Elaine Collier; Christine Colvis; Kenneth Gersing; Valery Gordon; Roxanne Jensen; et al. (npj Digit. Medicine, 2020)

National COVID Cohort Collaborative data enhancements: a path for expanding common data models. - Kellie M. Walters; Marshall Clark; Sofia Dard; Stephanie S. Hong; Elizabeth Kelly; Kristin Kostka; Adam M. Lee; Robert T. Miller; Michele Morris; Matvey B. Palchuk; Emily R. Pfaff; Adam B. Wilcox; et al. (J. Am. Medical Informatics Assoc., 2025)