Abstract
Artificial intelligence (AI) is increasingly being integrated across the perioperative continuum in metabolic and bariatric surgery (MBS), including preoperative risk stratification and counseling, intraoperative guidance and automation, postoperative monitoring and engagement, and administrative optimization. This ASMBS Emerging Technologies & Procedures (ET&P) Committee white paper synthesizes the current evidence base for AI applications relevant to MBS, with emphasis on clinically actionable use cases and limitations. While AI has the potential to enhance precision, safety, efficiency, and scalability of MBS care, its adoption must remain clinician-led, rigorously validated, equitable, and transparent. This paper provides a structured overview of current applications, identifies key challenges, and outlines ASMBS recommendations for responsible implementation.
Authors
- Yung Lee, MD MPH
- Jerry Dang, MD PhD
- Benjamin Clapp, MD
- Timothy Snow, MD
- Nirav Desai, MD
- Christopher Daigle, MD
- Thomas Shin, MD PhD