Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Abstract BackgroundThe global increase in life expectancy has not shown a similar rise in healthy life expectancy. Accurate assessment of biological aging is crucial for mitigating diseases and socioeconomic burdens associated with aging. Current biological age prediction mode...

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Bibliographic Details
Main Authors: Chang-Uk Jeong, Jacob S Leiby, Dokyoon Kim, Eun Kyung Choe
Format: Article
Language:English
Published: JMIR Publications 2025-04-01
Series:JMIR Aging
Online Access:https://aging.jmir.org/2025/1/e64473
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