Published Research

Published on Favin Publishers - “Clinicians using an AI wound assessment solution were 2.3x more likely to be satisfied after using it for 9 months.”

Implementing Technology in Practice: Factors Associated with Clinicians’ Satisfaction with an AI Wound Assessment Solution 

Assessment of Wound Surface Area Measurements Using Clinically Validated AI-based Technology and Manual Evaluation Methods and Impact on Debridement Codes Billing and Reimbursement Cost

Impact of Digital Wound Technology on Time to Heal Pressure Injuries in Home Health
AI predicted wound healing up to 22% better than standard of care models.

Towards an AI-based Objective Prognostic Model for Quantifying Wound Healing

Use of Infrared Thermal Imaging for Assessing Acute Inflammatory Changes: A Case Series 
Average Time Required for Wound Imaging

A Time Motion Study of Manual Versus Artificial Intelligence Methods for Wound Assessment
The median healing time ranged from 15-27 days, based on skin tear classification

Analysis of Real-World Data from North American Skilled Nursing Facilities’ Skin and Wound Records for Skin Tear Prevalence, Healing and Treatment 
Published on JMIR Publications - "Deep neural networks were 30% better at identifying and segmenting tissue types than wound care specialists."

Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study
Insights into Thermography's Use in Wound Care, Surgery, and Sports Medicine

Infrared Thermography in Wound Care, Surgery and Sports Medicine: A Review

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