Be Performance Ready!
Empowering athletes and others in their journey towards proactive wellness
In-Med Vivoshield is a non-invasive, no radiation, product that automatically analyzes whole body MRI data to provide actionable insights about body composition using AI.
It combines MSK gold standard MRI with state-of-the-art AI to accurately segment and quantify the distribution of muscle and various fat deposits;
The tool can also integrate functional assessment using video analysis.
Vivoshield Basic
- Body Composition Profiling to fingerprint unique body structure & track changes.
- Muscle & fat distribution
- Longitudinal tracking
Vivoshield Wellness
- Body composition profiling coupled with sport-specific functional assessment for standardized fitness screening & management
- Muscle & fat distribution
- Functional Assessment
- Sports fitness screening
- Injury profiling
- Longitudinal tracking
Vivoshield Wellness
- Body composition profiling coupled with sport-specific functional assessment for standardized fitness screening & management
- Muscle & fat distribution
- Functional Assessment
- Sports fitness screening
- Injury profiling
- Longitudinal tracking
Empowering Possibilities: What We Can Do for You
- Get fast and accurate insight into monitoring for obesity and obesity related conditions and for recovering cancer patients to monitor muscle loss / sarcopenia
- Tissue composition
- Visceral fat
- Subcutaneous fat
- Muscle
- Fatty Liver deposits
- Track over time
Leverage state of the art medical imaging and AI to:
- Fingerprint your unique body structure and function
- Assess your body composition and fat distribution
- Identify cardio-metabolic and neurological risk factors
- Evaluate if your current treatment is working
- Encourage changes to medication, lifestyle and behavioral health to optimize health and support biohacking
- Unparalleled insight in your players body composition, health status, and brain health
- Support disease or sports related injury identification screening via state-of-the-art technology
- Allows individualized wellness, physical and psychological training
- Promotes optimal physiological functioning
- Supports optimal team performance
Why Vivoshield
Comparison of the capablities of different techniques for body composition analysis
Vivoshield CT
ADP
BIA
DXA
CT
Total fat
Yes
Yes
Yes
Yes
Yes
Total lean tissue
Yes
Yes
Yes
Yes
Yes
VAT
Yes
No
Yes
Approximate
Yes
Volume of individual muscles
Yes
No
No
No
Yes
Diffuse fat infiltration
Yes
No
No
No
No
Without inonizing radiation
Yes
Yes
Yes
No (Low)
No
ADP – Air-Displacement Plethysmography
BIA – Bioelectrical Impedance Analysis
DXA – Dual-energy X-Ray Absorptiometry
VAT – Visceral Adipose Tissue
How We Do It?
WE RESEARCH
InMed distinguishes itself by prioritizing extensive research, paving the way for groundbreaking advancements in healthcare innovation.
Comprehensive End-to-End Workflow for Visceral Adipose Tissue and Subcutaneous Adipose Tissue quantification: Use Case to improve MRI accessibility
Two separate fully convolutional networks (UNet) with attention gates trained on our in-house dataset of 53 patients are used to segment VAT and SAT respectively. Our method achieves a dice score of 0.868 for SAT segmentation and 0.9107 for VAT segmentation. The whole pipeline from data acquisition to reporting can be completed in under 20 minutes.
Substantiating the effect of DXA variables in the prediction of diabetes mellitus using machine learning
The main objective of this study is to provide evidence to prove that variables derived from the DXA(Dual-energy X-ray absorptiometry) analysis including regional fat distribution profiles are better indicators of DM when compared to conventional metrics such as Body Mass Index(BMI). Our study demonstrates the potential of fat distribution variables as a potential standalone or surrogate biomarker for Type 2 DM.
Changes in DXA-derived lean mass and MRI-derived cross-sectional area of the thigh are modestly associated
The purpose of this study was to determine the accuracy of DXA at detecting changes in lean mass, using MRI-derived MV as a reference standard. While there are several advantages to using DXA for the measurement of lean mass, the inability to accurately detect changes over time calls into question its use in clinical trials.
White Paper
(Forthcoming)
Be performance ready – An use case for In-Med Vivoshield for peak athletic performance