dailyai.report

Smartphone imagery now estimates cardiometabolic risk more accurately than traditional BMI measurements. Researchers at Google AI developed a vision model that analyzes physical markers to predict metabolic health. This approach bypasses invasive tests. Practitioners can now integrate non-invasive visual screening into routine patient monitoring to identify high-risk individuals earlier than current standards allow.