AI Diagnoses Diseases via Facial Features
The two scientific studies, one Japanese and the other Scottish, introduced a new technology based on artificial intelligence to detect health risks by analyzing images of the face, eyes, and hands. In Japan, a team successfully identified high blood pressure and diabetes with an accuracy of approximately 88-95% by analyzing short video clips lasting between 5 to 30 seconds. This was achieved by examining blood flow patterns and the spectral properties of the skin. Meanwhile, a project in Scotland is training algorithms on a million retinal images to assess the risk of developing dementia, utilizing the connection between blood vessels and neural pathways in the eye and the brain. Although the results demonstrate high accuracy, the system still requires further extensive studies before it can be officially adopted. This reflects a trend toward harnessing artificial intelligence for early screening of common diseases before symptoms appear.
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