# Google Research Reports Smartphone Photos Approach Clinical Body Scans for Insulin Resistance Screening

Adding photo-derived body composition to age, sex and body mass index raised classification accuracy to 76.0 percent from 69.2 percent, close to the 77.3 percent reached with clinical scan data.

- Published: 2026-08-19T06:20:14.557Z
- Canonical: https://polylog.news/ai/2026-08-19/google-research-reports-smartphone-photos-approach-clinical
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Polylog editors](https://polylog.news)

Google Research described PhotoScan, a system that estimates body composition from ordinary front and side photographs and uses that estimate to flag insulin resistance. In the published results, adding PhotoScan-derived measurements to a b…

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