The application of artificial intelligence technologies is growing in several fields of healthcare settings. The aim of this article is to review the current applications of artificial intelligence in bariatric surgery. We performed a review of the literature on Scopus, PubMed and Cochrane databases, screening all relevant studies published until September 2021, and finally including 36 articles. The use of machine learning algorithms in bariatric surgery is explored in all steps of the clinical pathway, from presurgical risk-assessment and intraoperative management to complications and outcomes prediction. The models showed remarkable results helping physicians in the decision-making process, thus improving the quality of care, and contributing to precision medicine. Several legal and ethical hurdles should be overcome before these methods can be used in common practice.
Current Applications of Artificial Intelligence in Bariatric Surgery / Bellini, Valentina; Valente, Marina; Turetti, Melania; Del Rio, Paolo; Saturno, Francesco; Maffezzoni, Massimo; Bignami, Elena. - In: OBESITY SURGERY. - ISSN 0960-8923. - 32:8(2022), pp. 2717-2733. [10.1007/s11695-022-06100-1]
Current Applications of Artificial Intelligence in Bariatric Surgery
Bellini, Valentina;Valente, Marina;Turetti, Melania;Del Rio, Paolo;Maffezzoni, Massimo;Bignami, Elena
2022-01-01
Abstract
The application of artificial intelligence technologies is growing in several fields of healthcare settings. The aim of this article is to review the current applications of artificial intelligence in bariatric surgery. We performed a review of the literature on Scopus, PubMed and Cochrane databases, screening all relevant studies published until September 2021, and finally including 36 articles. The use of machine learning algorithms in bariatric surgery is explored in all steps of the clinical pathway, from presurgical risk-assessment and intraoperative management to complications and outcomes prediction. The models showed remarkable results helping physicians in the decision-making process, thus improving the quality of care, and contributing to precision medicine. Several legal and ethical hurdles should be overcome before these methods can be used in common practice.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.