Machine and Deep Learning Models for Preoperative Prediction of Suboptimal Clinical Response One Year after Metabolic Bariatric Surgery: Findings from the Tehran Obesity Treatment Study

Maryam Barzin; Arya Derakhshesh; Omid Kohandel Gargari; Maryam Mahdavi; Sobhan Kazemi; Majid Valizadeh; Azra Ramezankhani

doi:10.1007/s11695-026-08568-7

Machine and Deep Learning Models for Preoperative Prediction of Suboptimal Clinical Response One Year after Metabolic Bariatric Surgery: Findings from the Tehran Obesity Treatment Study

Obes Surg. 2026 Mar 28. doi: 10.1007/s11695-026-08568-7. Online ahead of print.

Authors

Maryam Barzin¹, Arya Derakhshesh², Omid Kohandel Gargari³, Maryam Mahdavi², Sobhan Kazemi², Majid Valizadeh², Azra Ramezankhani⁴

Affiliations

¹ Obesity Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Science, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran. m.barzin7@gmail.com.
² Obesity Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Science, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.
³ Student Research Committee, Alborz University of Medical Sciences, Iran, Karaj, Islamic Republic of Iran.
⁴ Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.

PMID: 41904288
DOI: 10.1007/s11695-026-08568-7

No abstract available

Keywords: Artificial intelligence; Deep learning; Machine learning; Metabolic bariatric surgery; Obesity; One-anastomosis gastric bypass; Sleeve gastrectomy; Suboptimal clinical response.