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About

Christine Stier is a pioneering voice at the intersection of artificial intelligence and metabolic and bariatric surgery (MBS). Her research focuses on how AI—from machine learning to deep learning—can revolutionize surgical decision-making, patient outcomes, and clinical workflows in obesity care. As the lead author of the landmark 2025 “International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery,” she synthesized global expert opinion to chart a roadmap for AI integration in MBS, from preoperative risk stratification to intraoperative guidance and long-term follow-up. This work, already garnering 14 citations, has become a foundational reference for surgeons and data scientists alike. Stier’s contributions extend beyond consensus-building; she is known for bridging the gap between complex AI algorithms and practical surgical applications, advocating for ethical, evidence-based adoption. Her research not only highlights AI’s transformative potential—such as predicting complications and personalizing treatment plans—but also critically examines its limitations, ensuring that innovation is tempered with clinical rigor. For students and researchers, Stier’s work offers a compelling vision of how data-driven tools can reshape surgery while emphasizing the need for human expertise.