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- Title
Individualized Bariatric Surgery Utilizing Artificial Intelligence: A Call to Colleagues and New Year's Aspiration.
- Authors
Şişik, Abdullah; Dalkılıç, Muhammed Said; Gençtürk, Mehmet; Yılmaz, Merih; Erdem, Hasan
- Abstract
This document, published in the journal Obesity Surgery, discusses the future of obesity treatment and the potential for individualized bariatric surgery utilizing artificial intelligence (AI). The authors highlight the progress made in bariatric surgery in terms of safety, efficacy, accessibility, education, and accreditation. They argue that a more personalized approach is needed due to the heterogeneity and unpredictability of outcomes. The authors also discuss the potential benefits of integrating AI and machine learning (ML) into clinical practice, including the development of prediction models and the analysis of large datasets. They emphasize the importance of collaboration between clinicians and data scientists and propose an agenda to address current limitations and harness the full potential of AI in bariatric surgery.
- Subjects
GASTRIC bypass; BARIATRIC surgery; ARTIFICIAL intelligence; NEW Year; SURGICAL complications; MACHINE learning
- Publication
Obesity Surgery, 2024, Vol 34, Issue 4, p1380
- ISSN
0960-8923
- Publication type
Article
- DOI
10.1007/s11695-024-07060-4