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About

Amir Hossein Davarpanah Jazi is a pioneering researcher at the intersection of artificial intelligence and metabolic and bariatric surgery (MBS). His work focuses on harnessing AI—from rule-based systems to advanced machine learning and deep learning—to transform surgical science and practice. Most notably, he led the development of the "International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery" (2025), a landmark study that has already garnered 14 citations shortly after publication. This consensus paper establishes a roadmap for integrating AI into preoperative planning, intraoperative decision-making, and postoperative monitoring in MBS, positioning him as a key voice in surgical innovation. His contributions are shaping how surgeons leverage data-driven tools to improve patient outcomes, reduce complications, and personalize care. With a growing body of work that bridges computational methods and clinical practice, Davarpanah Jazi is helping define the future of smart, AI-assisted surgery—a field poised to revolutionize how we approach one of the most common and impactful surgical interventions worldwide.