Google Research: smartphone imagery can estimate cardiometabolic risk beyond BMI
leanderjanssen · hn · 2026-08-20
Google Research published Seeing beyond BMI, using AI vision on smartphone photos to estimate cardiometabolic health risk.
- Motivation: BMI is a crude metric that misses fat distribution and other health signals
- Method: image-based analysis captures body features beyond BMI to predict cardiometabolic risk markers
- Significance: could enable low-cost, phone-only health risk screening at scale
More from Research
- Converting GMMs ↔ PEFs for fast KLD approximation — FrnkNlsn · 2026-08-24
- Netflix details its production LLM judge: hundreds of thousands of recommendations scored weekly — omarsar0 · 2026-08-24
- Nature Comment: Provenance, not interpretability, grounds trust in autonomous science — gabepgomes · 2026-08-24
- New Architecture RHEA: Train 1B Model on 8GB VRAM — zemondza · 2026-08-24
- Trained two 16M-param models to do generative CAD with real physics — debreuil · 2026-08-24
- Claude model helps discover complex structure on S^6, solving 60-year-old math problem — Singularitarian · 2026-08-24