SurgRob

Article Intro - AI in Surgery

A systematic review of 188 studies examined artificial intelligence for surgical scene understanding (SSU) in minimally invasive abdominal procedures. The analysis found that most research relies on small, single‑center datasets, with 59% concentrating on laparoscopic cholecystectomy. Validation practices are weak—only 10% use external data and fewer than six percent address clinical translation. The authors conclude that without broader data, robust validation, and clinician‑focused development, AI’s impact on operating rooms will remain limited.