生物年龄
神经科学
神经影像学
疾病
阿尔茨海默病
脑老化
心理学
医学
人工智能
老年学
病理
计算机科学
认知
作者
David T. Jones,Jeyeon Lee,Eric J. Topol
出处
期刊:The Lancet
[Elsevier BV]
日期:2022-09-01
卷期号:400 (10357): 988-988
被引量:21
标识
DOI:10.1016/s0140-6736(22)01782-2
摘要
Chronological age can differ from biological age, particularly in Alzheimer's disease (AD) and related neurodegenerative disorders. By training models with structural and functional brain imaging data obtained serially over time, deep learning artificial intelligence can estimate the brain age gap—the difference between chronological age and predicted age.
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