# Google Research — Seeing beyond BMI: Estimating cardiometabolic risk with smartphone imagery

- Company: Google Research (research.google)
- Announced: 2026-08-17T10:34:00+00:00
- Category: research-paper
- Subject: Research
- Models affected: PhotoScan
- Source: https://research.google/blog/seeing-beyond-bmi-estimating-cardiometabolic-risk-with-smartphone-imagery/
- Record: https://forck.live/items/4153-seeing-beyond-bmi-estimating-cardiometabolic-risk-with-smartphone-imagery

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.

## Evidence

Verbatim from https://research.google/blog/seeing-beyond-bmi-estimating-cardiometabolic-risk-with-smartphone-imagery/:

> 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.

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Record: https://forck.live/items/4153-seeing-beyond-bmi-estimating-cardiometabolic-risk-with-smartphone-imagery
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