Artificial intelligence‐based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus

ABSTRACT Aim/Introduction We assess the efficacy of artificial intelligence (AI)‐based, fully automated, volumetric body composition metrics in predicting the risk of diabetes. Materials and Methods This was a cross‐sectional and 10‐year retrospective longitudinal study. The cross‐sectional analysis...

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Bibliographic Details
Main Authors: Yoo Hyung Kim, Ji Won Yoon, Bon Hyang Lee, Jeong Hee Yoon, Hun Jee Choe, Tae Jung Oh, Jeong Min Lee, Young Min Cho
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:Journal of Diabetes Investigation
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Online Access:https://doi.org/10.1111/jdi.14365
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