AI-Powered Wound Care

Objective. Accurate. Proven.

Standardizes wound assessments

Supports wound care teams with validated AI

Reduces costs

For Administrators

Saves Time, Increases Revenue

For Nurses & Directors of Care

Let's Physicians focus on Patient Care

how it works

BEFORE THE VISIT

Clinicians capture a wound photo, and AI instantly assesses the size, colour, and tissue type

DURING THE VISIT

AI recommends treatment, creates checklists, and provides step-by-step instructions to ensure proper care

AFTER THE VISIT

EMR updated and longitudinal progress tracking supports wound care planning and regulatory audits

Features

ADDRESSING SKIN TONE BIAS IN DERMATOLOGY AI

The Problem

Even trained physicians often struggle to visually detect inflammation (erythema) on darker skin tones. This gap has translated into disparities in diagnosis, treatment, and outcomes for millions of patients.

Skinopathy’s Breakthrough

At the 2024 GITEX Africa Conference, Skinopathy unveiled AI technology that detects colour changes in dark skin tones that the human eye cannot perceive.

  • Detects subtle pixel-level differences beyond human vision
  • Comparable to expensive optical instruments like Laser Doppler Imaging
  • Already shown to outperform dermatologists in detecting inflammation in clinical studies

Why It Matters for Wound Care?

Accurate wound assessment across all skin tones ensures fair, equitable treatment and faster interventions. This is particularly critical in long-term care and community settings where diverse patients are served.

VALIDATED SCIENCE & PROVEN IMPACT

Research published in Oxford University Press and the American Burns Association Journal

Peer-reviewed studies presented at 50+ global medical conferences

Awarded by AIMed, American Burns Association, and Canadian Society of Plastic Surgery

Schedule Your Demo Today 

Experience firsthand how Skinopathy OS makes your practice more efficient, profitable, and patient-focused. 

Interest Piqued?

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