Smartphone images of the face and body now predict cardiometabolic risk more accurately than BMI alone. Google AI Research developed a vision model that identifies subtle physical markers linked to metabolic syndrome. This approach bypasses invasive blood tests for initial screenings. Practitioners can now integrate non-invasive visual diagnostics into routine primary care workflows.