AB100. SOH25_AB_238. Baripredict: artificial intelligence insights post bariatric procedures—is it an accurate predictor of weight loss?
General Surgery III

AB100. SOH25_AB_238. Baripredict: artificial intelligence insights post bariatric procedures—is it an accurate predictor of weight loss?

Julie-Therese Clifford, Helen Heneghan, Naomi Fearon, Waqas Butt, Carel Le Roux, Odhran Ryan, Talal Almukhilfi, Jennifer Mannion

Department of Surgery, St Vincent’s University Hospital, Dublin, Ireland

Background: Obesity is a complex, challenging and rapidly escalating global health crisis, affecting more than one billion people. Bariatric surgery is the signal most efficacious treatment for same. However, the post-operative weight loss trajectory remains highly heterogeneous. Saux and colleagues recently developed an artificial intelligence (AI)-driven tool to enables clinicians to predict weight loss up to 5 years post procedure. The aim of this study was to examine the accuracy of this tool.

Methods: Retrospective observational study examining 100 patients across the St Vincent’s Hospital Group who underwent a laparoscopic gastric bypass or Roux-en-Y gastric bypass between 2021 and 2022 and were followed up for one year post procedure for weight changes. Patient’s body mass index (BMI), diabetes & smoking status, as well as the index procedure were recorded and details were inputted into the Innovative Medicines Initiative Project SOPHIA tool and predicted weights at 3, 6 and 12 months were generated and compared to recorded weights of patients.

Results: A total of 67% were female, 33% male. The provisional findings indicate the mean difference between predicted and observed BMI are minimal.

Conclusions: These provisional findings would indicate this AI-driven tool to be an accurate predictor of weight loss post bariatric procedures.

Keywords: Bariatrics; artificial intelligence (AI); predictive tool; weight loss; stratification of obese phenotypes to optimize future obesity therapy

Acknowledgments

None.

Footnote

Funding: None.

Conflicts of Interest: The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.

doi: 10.21037/map-25-ab100
Cite this abstract as: Clifford JT, Heneghan H, Fearon N, Butt W, Le Roux C, Ryan O, Almukhilfi T, Mannion J. AB100. SOH25_AB_238. Baripredict: artificial intelligence insights post bariatric procedures—is it an accurate predictor of weight loss? Mesentery Peritoneum 2025;9:AB100.

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