Max Robotics — Global Service Robot Directory + US Certification

About

Maxwell Otiato is a rising leader in surgical data science, whose work bridges artificial intelligence, human factors, and urologic oncology. His core research focuses on developing objective, video-based methods to quantify surgical performance—an area where subjective assessment has long been the norm. Otiato’s most influential work, “Surgical gestures as a method to quantify surgical performance and predict patient outcomes” (54 citations), established a paradigm for deconstructing procedures into discrete instrument-tissue interactions, enabling more precise evaluation of technical skill. He further advanced the field by demonstrating how human visual explanations can mitigate bias in AI-based assessments of surgeon skills (46 citations), a critical step toward fair, high-stakes decisions like credentialing. His 2024 study on surgical gestures in robot-assisted radical prostatectomy extends this framework to a specific, technically demanding procedure. Beyond surgical analytics, Otiato contributes to clinical oncology, co-authoring the ROBUUST 2.0 study on adjuvant immunotherapy for high-risk upper tract urothelial cancer. By combining rigorous quantitative methods with a commitment to equity in AI, Otiato is shaping how we measure, understand, and improve surgical care.