Digital Health

See How the Body Changes Over Time

Track longitudinal changes in body composition, shape and anthropometrics through simple smartphone scans, from baseline through treatment and beyond.

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Simple scans
Real change over time
Better outcomes
BASELINE
Jan 12
Example QuadraScan 3D body scan at baseline
WEEK 4
Feb 9
Example QuadraScan 3D body scan at week 4
WEEK 8
Mar 8
Example QuadraScan 3D body scan at week 8
WEEK 12
Apr 5
Example QuadraScan 3D body scan at week 12
Change from baseline to week 12Example patient
Weight (lb)198152-46 lb
Lean Mass (lb)98102+4 lb
Fat Mass (lb)8746-41 lb
Waist (in)42.532.1-10.4 in
BaselineWk 4Wk 8Wk 12
Body intelligence for every health journey

One technology. Two ways to make an impact.

Whether you're a healthcare provider or an individual taking charge of your health, QuadraScan delivers objective, longitudinal body insights that help you understand progress, inform decisions, and achieve better outcomes.

Healthcare provider reviewing QuadraScan results with a patient on a tablet
For Healthcare Providers
  • Monitor patient progress
  • Inform clinical decision-making
  • Add objective data to care plans
  • Track changes over time
Woman looking at her QuadraScan results on her phone
For Consumers
  • Understand your body beyond the scale
  • Visualize changes over time
  • Gain personalized insights
  • Take a more informed role in your health
The technology behind better care

QuadraScan by Fit:match AI

AI body intelligence: 4 photos. 10 seconds. DXA-trained results.

  • A simple at-home AI body scan
  • AI-powered body composition and shape analysis
  • Longitudinal tracking of changes that matter
  • Personalized insights to guide healthier decisions
QuadraScan four-view body scan showing front, back, left and right views taken in 10 secondsQuadraScan results screen showing lean mass, fat mass and bone mineral content with a six month trend chart
From QuadraScan to real-world value

One Body Signal. Many Clinical Applications.

QuadraScan turns longitudinal body composition and anthropometric data into actionable insights across key therapeutic areas, supporting personalized care, monitoring and risk assessment.

Two body scan visualizations: a man in color beside his grayscale 3D scan
1
Longitudinal monitoring

Track meaningful changes in body composition and measurements throughout the patient journey.

2
Obesity & Diabetes

Fat mass, lean mass and body measurements provide context for metabolic health and treatment response.

3
Cardiovascular & Neurology

Body composition and longitudinal change can add context to risk, mobility and overall health status.

4
Aging, Recovery & Oncology

Monitor lean mass and physical change to support muscle preservation, recovery and treatment tolerance.

5
HHealth & Wound Healing

Follow changes in fat mass, lean mass and body measurements across diverse care pathways.

Body composition insights

made effortless to access, understand, and act on.

Fast, intuitive

scanning

Smartphone-based assessment with clear, guided instructions and real-time feedback.

Immediate,

actionable insights

Easy-to-understand body composition metrics and personalized trends.

Longitudinal

tracking

Effortlessly repeat scans to monitor changes over time.

Connected

experience

Securely deliver results to the appropriate consumer, care team, or partner platform.

Privacy

and trust

Transparent consent, secure data handling, and clear communication about data use.

Built and validated against DXA,

the clinical gold standard.

QuadraScan turns four smartphone photos into a detailed body profile in about 10 seconds, with no lab, no appointment and no special equipment.

What it measures

Body dimensions, including lengths, widths and circumferences, plus key health proportions like waist-to-height ratio.

What it estimates

Body composition: lean mass, fat mass and bone mineral content. These come from proprietary AI models trained on clinical DXA scans.

How it compares with DXA

In testing against a few thousand DXA scans, QuadraScan showed strong agreement for lean mass and fat mass. In head-to-head testing, its estimates landed within about 2 kg of DXA on average.

Case study

Real results. Measurable change.

VIO Med Spa uses QuadraScan to track body composition changes in patients on GLP-1 programs, providing objective, visual data to support better care and stronger patient engagement.

90-day program
Weekly scans
4-week reports
for patient and provider

Example patient report

34 days on program

Since her baseline scan, Taylor M. (27, GLP-1 program) is down 10 lbs, and her waist, chest, and BMI are all trending in the favorable direction.

3D body shape scan of Taylor M. at baseline, August 14, 2026

Aug 14, 2026

3D body shape scan of Taylor M. at day 34, September 17, 2026

Sep 17, 2026

Body weight

160.0 lb

↓ 10 lb (5.9%)

from 170.0 lb

BMI

26.6

↓ 1.7 (5.9%)

from 28.3

Narrowest waist

32.8"

↓ 3.7" (10.1%)

from 36.5"

Chest

41.4"

↓ 0.5" (1.3%)

from 41.9"

Fat mass

60.6 lb

↓ 11.7 lb (16.2%)

from 72.3 lb

Lean mass

94.1 lb

↑ 1.6 lb (1.7%)

from 92.5 lb

Clinical perspective

Kirk A. McCullough, M.D.

Medical Director

  • Board-certified orthopedic surgeon and sports medicine specialist
  • Extensive experience in musculoskeletal health, injury prevention, and athlete development
  • Clinical leader supporting body composition, growth and maturation, and performance analytics
  • Serves as a clinical advisor providing perspective on musculoskeletal health applications, product development direction, and clinical use case refinement for the Fit:match platform
  • Supports adoption across our various clinical and performance pathways for amateur and elite sports programs
Kirk A. McCullough, M.D., Medical Director at Fit:match

Note: Dr. McCullough’s role is advisory in nature. He is not a treating physician for Fit:match customers or end users, and his advisory services do not constitute the practice of medicine on behalf of Fit:match or its users.

Dhanunjaya “DJ” Lakkireddy, MD

Cardiac Electrophysiologist | Clinical Advisor

  • Board-certified, fellowship-trained cardiologist specializing in electrophysiology
  • Medical Director of the Kansas City Heart Rhythm Institute at HCA Midwest Health
  • Professor of Medicine
  • Program Chair of Heart Rhythm 2026
  • Serves as a clinical advisor to Fit:match
Dhanunjaya DJ Lakkireddy, MD, Cardiac Electrophysiologist and Clinical Advisor to Fit:match

Note: Dr. Lakkireddy’s role is advisory in nature. He is not a treating physician for Fit:match customers or end users, and his advisory services do not constitute the practice of medicine on behalf of Fit:match or its users.

Built for healthcare infrastructure

Secure. Scalable. Ready to integrate.

HIPAA Compliant
EHR Integration
API & SDK
Cloud Deployment

Turn body measurements into a longitudinal dataset.

Give your team or yourself a scalable way to understand how bodies change throughout treatment, recovery and long-term care.

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IMPORTANT:

QuadraScan and the Fit:match platform are body composition and anthropometric measurement tools. They are not FDA-cleared or FDA-approved medical devices and are not intended to diagnose, cure, treat, prevent, or screen for any disease or medical condition, including but not limited to sarcopenia, osteoporosis, or obesity.

Body composition outputs, including lean mass and bone mineral content estimates, are derived from AI-based image analysis and are not equivalent to measurements obtained by DEXA scanning, MRI, or other clinically validated diagnostic modalities. All data generated by QuadraScan is intended to provide informational body composition and anthropometric measurements to support, but not replace, the professional judgment of a qualified healthcare provider.

No physician-patient relationship is established by use of the Fit:match platform. Clinical decisions regarding diagnosis, treatment, surgical planning, or disease management should always be made by a qualified healthcare professional using appropriate clinical tools and methodologies. Healthcare providers are solely responsible for determining the appropriate use of QuadraScan data within their clinical practice and for ensuring compliance with applicable billing, coding, and regulatory requirements, including requirements for Remote Patient Monitoring programs.