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