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Current Applications of Artificial Intelligence in Bariatric Surgery
Valentina Bellini1, Marina Valente2, Melania Turetti1
1Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy.
Obesity Surgery
|May 26, 2022
Summary
Artificial intelligence (AI) is increasingly used in bariatric surgery for risk assessment, intraoperative management, and outcome prediction. These machine learning models aid clinical decisions, enhancing patient care and precision medicine, though legal and ethical challenges remain.
Area of Science:
- Medical Informatics
- Surgical Technology
- Artificial Intelligence in Healthcare
Background:
- Artificial intelligence (AI) applications are expanding across healthcare.
- Bariatric surgery involves complex patient pathways and outcomes.
- Optimizing bariatric surgery care requires advanced decision-support tools.
Purpose of the Study:
- To review current applications of AI in bariatric surgery.
- To explore the role of machine learning (ML) across the bariatric clinical pathway.
- To assess the impact of AI on clinical decision-making and patient care.
Main Methods:
- Systematic literature review of Scopus, PubMed, and Cochrane databases.
- Inclusion of studies published up to September 2021.
- Analysis of 36 selected articles on AI in bariatric surgery.
Main Results:
- AI, particularly ML algorithms, is applied throughout the bariatric surgery pathway.
- Applications include presurgical risk assessment, intraoperative management, and prediction of complications and outcomes.
- AI models demonstrate significant potential in supporting physician decision-making.
Conclusions:
- AI contributes to improved quality of care and precision medicine in bariatric surgery.
- AI tools show promise in enhancing clinical decision-making processes.
- Legal and ethical considerations must be addressed for widespread AI adoption in practice.
