Validated against DEXA — body composition from any smartphone.
Objective body fat and lean mass in 30 seconds. No equipment, no calibration, no capital cost.
From phone to measurement in 30 seconds.
Guided capture on any smartphone. Structured body composition results in under a minute.
Validation
Strong agreement with DXA across every measure.
Held-out validation against DXA on an independent cohort (n=195). Agreement is strong across body fat and lean mass, and strongest on appendicular lean mass.
Agreement with DXA is strong across all three measures (CCC 0.92–0.97), and strongest on appendicular lean mass. Total lean mass % is estimated from images alone.
Performance in tracking change over time — including lean-mass preservation during GLP-1/incretin-based weight loss — is the focus of ongoing work.
Bland-Altman agreement, appendicular lean mass vs DXA (n=195 held-out cohort)
Scan-to-scan repeatability: pending
Developed on a separate dataset collected independently of the validation study, then evaluated here on an independent held-out cohort (n=195) against DXA.
Study population (n=195): mean age 34.2 (18–75) · 51% male / 49% female · mean BMI 26.8 · DXA body fat 7.5–50.6% (mean 27.8%)
Per-scan confidence estimates: every result includes a reliability estimate, flagging captures where lighting, pose, or framing reduce confidence so they can be retaken.
Validated in IRB-approved studies at two academic medical centers.
Preprint
Reynolds T, Gerard J, Jordan A, Streby N, Stoll B, Bowers A, Hewitt A,
Bargamian J, Sapper T, Burdick TE, Kackley M.
"Validation of a Smartphone-Image-Based Computer-Vision Model for Lean Mass
and Body Fat Estimation Against Dual-Energy X-ray Absorptiometry."
medRxiv 2026. https://doi.org/10.64898/2026.06.15.26355736
Not yet peer-reviewed.
→ Read the full preprintHow it works
Capture
Guided photos using any smartphone. Works in clinic, at home, or during virtual visits. Takes 30 seconds.
Analyze
Models process the images and estimate body composition. Results ready in seconds.
Act
Structured report — body fat %, lean mass, appendicular lean mass, trend over time.
Who it's for
Clinical care
Objective body composition at each visit. No in-clinic scan, no ionizing radiation.
Research
Standardized, remote body composition capture at scale. Consistent methodology, reduced study cost.
Population-scale measurement
Deploy to any smartphone. Aggregate de-identified analytics. Standardized measurement at scale.
Regulatory
Kino Vision is actively pursuing FDA clearance. Current deployments are for research and informational use.