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

Pantelis, Athanasios; Stravodimos, Georgios; Lapatsanis, Dimitris P.

doi:10.1007/s11695-021-05548-x

Cited by 11 publications

(8 citation statements)

References 72 publications

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“…Our results are consistent with the recent findings of the scoping review by Pantelis et al [23], as ML explored models proved effective and outperformed conventional statistical techniques.…”

Section: Discussionsupporting

confidence: 92%

Current Applications of Artificial Intelligence in Bariatric Surgery

et al. 2022

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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.

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Section: Discussionsupporting

confidence: 92%

Current Applications of Artificial Intelligence in Bariatric Surgery

et al. 2022

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“…AI is gaining more and more ground to clinical practice, as it has been documented not only by our research [4], but also that of other investigators within the same context [109]. The clinician is not required to understand how AI algorithms work but should be cautious when interpreting AI-based outcomes and decision by evaluating its source data and metrics.…”

Section: Discussionmentioning

confidence: 88%

“…Recently there has been documented an exponential increase of literature investigating the application of various AI algorithms in healthcare [3]. It is within this context that our team recently attempted to trace the applications of artificial intelligence and machine learning in bariatric metabolic surgery (BMS) [4]. Based upon this study, this chapter is organized in seven sections, in concordance with the respective disciplines of BMS for which there have been relevant publications concerning applications of AI.…”

Section: Introductionmentioning

confidence: 99%

Current and Potential Applications of Artificial Intelligence in Metabolic Bariatric Surgery

Pantelis¹

2023

Bariatric Surgery - Past and Present

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Artificial intelligence (AI) is an umbrella term, which refers to different methods that simulate the process of human learning. As is the case with medicine in general, the field of bariatric metabolic surgery has lately been overwhelmed by evidence relevant to the applications of AI in numerous aspects of its clinical practice, including prediction of complications, effectiveness for weight loss and remission of associated medical problems, improvement of quality of life, intraoperative features, and cost-effectiveness. Current studies are highly heterogeneous regarding their datasets, as well as their metrics and benchmarking, which has a direct impact on the quality of research. For the non-familiar clinician, AI should be deemed as a novel statistical tool, which, in contradistinction to traditional statistics, draws their source data from real-world databases and registries rather than idealized cohorts of patients and is capable of managing vast amounts of data. This way, AI is supposed to support decision-making rather than substitute critical thinking or surgical skill development. As with any novelty, the clinical usefulness of AI remains to be proven and validated against established methods.

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“…Our team recently published a scoping review on current evidence regarding the applications of AI in BMS [ 28 ]. We identified seven broad categories of subjects: basic science, safety (complications), effectiveness (bariatric outcomes), comorbidities (including T2DM), quality of life, operative characteristics, and cost.…”

Section: Bariatric and Metabolic Surgery In The Era Of Artificial Int...mentioning

confidence: 99%

Metabolomics in Bariatric and Metabolic Surgery Research and the Potential of Deep Learning in Bridging the Gap

Pantelis¹

2022

Metabolites

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During the past several years, there has been a shift in terminology from bariatric surgery alone to bariatric and metabolic surgery (BMS). More than a change in name, this signifies a paradigm shift that incorporates the metabolic effects of operations performed for weight loss and the amelioration of related medical problems. Metabolomics is a relatively novel concept in the field of bariatrics, with some consistent changes in metabolite concentrations before and after weight loss. However, the abundance of metabolites is not easy to handle. This is where artificial intelligence, and more specifically deep learning, would aid in revealing hidden relationships and would help the clinician in the decision-making process of patient selection in an individualized way.

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

Cited by 11 publications

References 72 publications

Current Applications of Artificial Intelligence in Bariatric Surgery

Current Applications of Artificial Intelligence in Bariatric Surgery

Current and Potential Applications of Artificial Intelligence in Metabolic Bariatric Surgery

Metabolomics in Bariatric and Metabolic Surgery Research and the Potential of Deep Learning in Bridging the Gap

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