A roadmap to implementing machine learning in healthcare: from concept to practice. - Adam Paul Yan; Lin Lawrence Guo; Jiro Inoue; Santiago Eduardo Arciniegas; Emily Vettese; Agata Wolochacz; Nicole Crellin-Parsons; Brandon Purves; Steven Wallace; Azaz Patel; Medhat Roshdi; Karim Jessa; et al. (Frontiers Digit. Health, 2025)

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness. - Stephen R. Pfohl; Natalie Harris; Chirag Nagpal; David Madras; Vishwali Mhasawade; Olawale Salaudeen; Awa Dieng; Shannon Sequeira; Santiago Eduardo Arciniegas; Lillian Sung; Nnamdi Ezeanochie; Heather Cole-Lewis; et al. (CoRR, 2025)