From the source
From the source
Google Research introduces PhotoScan, a deep learning framework that estimates body composition metrics (body fat percentage, A/G ratio, V/S ratio) from standard 2D smartphone photos, achieving accuracy comparable to DXA scans for predicting insulin resistance.
From the source
PhotoScan demonstrates higher body fat percentage accuracy than smartwatch-based bioelectrical impedance analysis (BIA) sensors while unlocking A/G and V/S ratios beyond BIA's capabilities, offering a scalable, non-invasive framework to predict insulin resistance with near-DXA accuracy.
research.google