Human visual explanations mitigate bias in AI-based assessment of surgeon skills. - Dani Kiyasseh; Jasper Laca; Taseen F. Haque; Maxwell X. Otiato; Brian J. Miles; Christian Wagner; Daniel A. Donoho; Quoc-Dien Trinh; Animashree Anandkumar; Andrew J. Hung (npj Digit. Medicine, 2023)

Commentary: Machine learning in clinical decision-making. - Amanda C. Filiberto; Daniel A. Donoho; Ira L. Leeds; Tyler J. Loftus (Frontiers Digit. Health, 2023)

A methodology for the annotation of surgical videos for supervised machine learning applications. - Elizabeth Fischer; Kochai Jan Jawed; Kevin Cleary; Alan Balu; Andrew Donoho; Waverly Gestrich-Thompson; Daniel A. Donoho (Int. J. Comput. Assist. Radiol. Surg., 2023)

Automated Intraoperative Visual Detection of Pediatric Epileptogenic Brain Lesions Using a Machine Learning Classifier. - Naomi Kifle; Bo Ning 007; In-Seok Song; Ava Jiao; Saige Teti; Daniel A. Donoho; Jeremy Kang; Ashley Yoo; Chima Oluigbo; Robert Keating; Richard Jaepyeong Cha (EMBC, 2024)

A microdiscectomy surgical video annotation framework for supervised machine learning applications. - Kochai Jan Jawed; Ian Buchanan; Kevin Cleary; Elizabeth Fischer; Aaron H. Mun; Nishanth Gowda; Arhum Naeem; Recai Yilmaz; Daniel A. Donoho (Int. J. Comput. Assist. Radiol. Surg., 2024)