aceTechnology and Obesity: A Year in Review
SMART technological advancements help diagnose, treat, and monitor various diseases at the earliest stages. It presents an opportunity to maintain the key components of conventional obesity management programming while reducing costs and provider time inputs. Various machine learning models have helped predict the risks of obesity and metabolic syndrome. Additionally trained convolutional neural networks can now automatically segment and quantify different adipose tissue compartments. Various multicenter series…
Machine learning and related SMART technologies improved early diagnosis and monitoring of obesity by predicting metabolic risk and automating adipose tissue measurement, and were linked to meaningful weight loss after robotic bariatric procedures.
Evidence
- Peer-reviewedAdvances in Therapy2026-08-29
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Truvace Impact Record TRV-2026-0941, v1: “Technology and Obesity: A Year in Review.” Truvace, 2026-08-31. /record/TRV-2026-0941 (accessed at citation time). sha256 f726d5da55073d82…
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