Literature DB >> 34264433

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

Athanasios G Pantelis1, Georgios K Stravodimos2, Dimitris P Lapatsanis2.   

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.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  artificial intelligence; big data; deep learning; machine learning; metabolic bariatric surgery; predictive models

Year:  2021        PMID: 34264433     DOI: 10.1007/s11695-021-05548-x

Source DB:  PubMed          Journal:  Obes Surg        ISSN: 0960-8923            Impact factor:   4.129


  43 in total

1.  The advanced-DiaRem score improves prediction of diabetes remission 1 year post-Roux-en-Y gastric bypass.

Authors:  Judith Aron-Wisnewsky; Nataliya Sokolovska; Yuejun Liu; Doron S Comaneshter; Shlomo Vinker; Tal Pecht; Christine Poitou; Jean-Michel Oppert; Jean-Luc Bouillot; Laurent Genser; Dror Dicker; Jean-Daniel Zucker; Assaf Rudich; Karine Clément
Journal:  Diabetologia       Date:  2017-07-21       Impact factor: 10.122

2.  Differential gene expression profile in omental adipose tissue in women with polycystic ovary syndrome.

Authors:  Marta Cortón; José I Botella-Carretero; Alberto Benguría; Gemma Villuendas; Angel Zaballos; José L San Millán; Héctor F Escobar-Morreale; Belén Peral
Journal:  J Clin Endocrinol Metab       Date:  2006-10-24       Impact factor: 5.958

3.  Analysis of Trajectories of Care After Bariatric Surgery Using Data Mining Method and Health Administrative Information Systems.

Authors:  Anaïs Charles-Nelson; Andrea Lazzati; Sandrine Katsahian
Journal:  Obes Surg       Date:  2020-06       Impact factor: 4.129

4.  Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos.

Authors:  Arthur Derathé; Fabian Reche; Alexandre Moreau-Gaudry; Pierre Jannin; Bernard Gibaud; Sandrine Voros
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-10-31       Impact factor: 2.924

5.  Gastric bypass is a cost-saving procedure: results from a comprehensive Markov model.

Authors:  Gil R Faria; John R Preto; José Costa-Maia
Journal:  Obes Surg       Date:  2013-04       Impact factor: 4.129

6.  Predicting venous thromboembolism following laparoscopic bariatric surgery: development of the BariClot tool using the MBSAQIP database.

Authors:  Jerry T Dang; Noah Switzer; Megan Delisle; Michael Laffin; Richdeep Gill; Daniel W Birch; Shahzeer Karmali
Journal:  Surg Endosc       Date:  2018-07-12       Impact factor: 4.584

7.  Roux-en-Y gastric bypass compared with aggressive diet and exercise therapy for morbidly obese patients awaiting renal transplant: a decision analysis.

Authors:  Rashikh A Choudhury; Kenric M Murayama; Peter L Abt; Henry A Glick; Ali Naji; Noel N Williams; Kristoffel R Dumon
Journal:  Surg Obes Relat Dis       Date:  2013-05-23       Impact factor: 4.734

8.  PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation.

Authors:  Andrea C Tricco; Erin Lillie; Wasifa Zarin; Kelly K O'Brien; Heather Colquhoun; Danielle Levac; David Moher; Micah D J Peters; Tanya Horsley; Laura Weeks; Susanne Hempel; Elie A Akl; Christine Chang; Jessie McGowan; Lesley Stewart; Lisa Hartling; Adrian Aldcroft; Michael G Wilson; Chantelle Garritty; Simon Lewin; Christina M Godfrey; Marilyn T Macdonald; Etienne V Langlois; Karla Soares-Weiser; Jo Moriarty; Tammy Clifford; Özge Tunçalp; Sharon E Straus
Journal:  Ann Intern Med       Date:  2018-09-04       Impact factor: 25.391

9.  New approach to beta cell function screening by nitric oxide assessment of obese individuals at the population level.

Authors:  Elinton Adami Chaim; Renata Cristina Gobato
Journal:  Int J Gen Med       Date:  2012-05-21

10.  Predicting 10-Year Risk of End-Organ Complications of Type 2 Diabetes With and Without Metabolic Surgery: A Machine Learning Approach.

Authors:  Ali Aminian; Alexander Zajichek; David E Arterburn; Kathy E Wolski; Stacy A Brethauer; Philip R Schauer; Steven E Nissen; Michael W Kattan
Journal:  Diabetes Care       Date:  2020-02-06       Impact factor: 17.152

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  2 in total

Review 1.  Current Applications of Artificial Intelligence in Bariatric Surgery.

Authors:  Valentina Bellini; Marina Valente; Melania Turetti; Paolo Del Rio; Francesco Saturno; Massimo Maffezzoni; Elena Bignami
Journal:  Obes Surg       Date:  2022-05-26       Impact factor: 3.479

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

Authors:  Athanasios G Pantelis
Journal:  Metabolites       Date:  2022-05-19
  2 in total

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