AI-driven prediction of insulin resistance in non-diabetic populations using minimal invasive tests: comparing models and criteria

Abstract Background Insulin resistance is a key precursor to diabetes and increases the risk of cardiovascular diseases. Traditional assessment methods rely on multiple invasive tests. Developing an AI model based on minimally invasive tests, especially using only fasting blood glucose as the invasi...

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Bibliographic Details
Main Authors: Weihao Gao, Zhuo Deng, Zheng Gong, Ziyi Jiang, Lan Ma
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Diabetology & Metabolic Syndrome
Subjects:
Online Access:https://doi.org/10.1186/s13098-025-01920-4
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