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Google's AI Reads Body Fat Using Camera
19 Aug
Summary
- PhotoScan uses AI and a smartphone camera to estimate body fat.
- It achieves near DXA accuracy for body fat percentage.
- The technology demonstrates feasibility but isn't public yet.
Google is advancing its health technology by developing PhotoScan, an AI-driven framework designed to estimate body fat percentage using only a smartphone camera. This investigational tool aims to achieve accuracy comparable to medical-grade DXA scans, a significant improvement over current methods like bioelectrical impedance analysis (BIA) found in smart scales and watches.
The PhotoScan framework analyzes smartphone photographs, correlating them with DXA scan data and other user information. This approach has shown promising results, demonstrating the potential for granular body composition estimation directly from standard phone imagery. While this technology is not yet commercially available, it represents a significant step towards more accessible health monitoring.
Researchers suggest that PhotoScan offers a compelling middle ground, providing convenience similar to BIA sensors but with enhanced accuracy. This development could pave the way for future smartphone features that offer deeper insights into metabolic health and insulin resistance.
