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Seeing beyond BMI: Estimating cardiometabolic risk with smartphone imagery
August 17, 2026 Cassie Zhou, Research Scientist, and Ahmed Metwally, Staff Research Scientist, Google Research We demonstrate the feasibility of PhotoScan, a deep learning approach estimating body composition from smartphone photos, to predict insulin resistance with accuracy comparable to DXA scans in a clinical research setting. Insulin resistance is one of the most critical yet underdiagnosed drivers of modern metabolic disease.
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