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

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
Subjects:
Artificial intelligence
Body composition
Diabetes mellitus
Online Access:https://doi.org/10.1111/jdi.14365
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