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01-10-2021 | Bariatric Surgery | Review

A Scoping Review of Artificial Intelligence and Machine Learning in Bariatric and Metabolic Surgery: Current Status and Future Perspectives

Authors: Athanasios G. Pantelis, Georgios K. Stravodimos, Dimitris P. Lapatsanis

Published in: Obesity Surgery | Issue 10/2021

Abstract

Artificial intelligence (AI) is a revolution in data analysis with emerging roles in various specialties and with various applications. The objective of this scoping review was to retrieve current literature on the fields of AI that have been applied to metabolic bariatric surgery (MBS) and to investigate potential applications of AI as a decision-making tool of the bariatric surgeon. Initial search yielded 3260 studies published from January 2000 until March 2021. After screening, 49 unique articles were included in the final analysis. Studies were grouped into categories, and the frequency of appearing algorithms, dataset types, and metrics were documented. The heterogeneity of current studies showed that meticulous validation, strict reporting systems, and reliable benchmarking are mandatory for ensuring the clinical validity of future research.

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Title: A Scoping Review of Artificial Intelligence and Machine Learning in Bariatric and Metabolic Surgery: Current Status and Future Perspectives
Authors: Athanasios G. Pantelis
Georgios K. Stravodimos
Dimitris P. Lapatsanis
Publication date: 01-10-2021
Publisher: Springer US
Keywords: Bariatric Surgery
Artificial Intelligence
Bariatric Surgery
Published in: Obesity Surgery / Issue 10/2021
Print ISSN: 0960-8923
Electronic ISSN: 1708-0428
DOI: https://doi.org/10.1007/s11695-021-05548-x

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A Scoping Review of Artificial Intelligence and Machine Learning in Bariatric and Metabolic Surgery: Current Status and Future Perspectives

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