Web Page

Upload Wound Image

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Drop wound image here

or click to browse
JPG, PNG, HEIC up to 20MB

Clinical Context (optional — improves accuracy)

⚠️ For clinical decision support only. Not a substitute for professional medical assessment. Always confirm AI findings with qualified wound care clinician judgment.

AI Analysis Results

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Upload a wound image to begin AI classification.

The engine analyzes wound type, staging, tissue characteristics, infection indicators, and generates evidence-based treatment recommendations.

ANALYZING WOUND IMAGE...

Recent Analyses

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Pressure Injury

Stage III · Sacrum

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Diabetic Foot Ulcer

Wagner II · Plantar

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Burn Wound

2° Partial · Forearm

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Venous Leg Ulcer

CEAP C6 · Malleolus

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WoundWatch Platform — Next Steps Roadmap

PHASE 02

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Live Website Launch

Deploy the full platform to woundwatch.health. Connect domain DNS, set up hosting, publish the library & classifier live.

PHASE 03

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Seed Clinician Network

Recruit 10–20 wound care nurses & clinicians to submit early cases, validate AI outputs, and build credibility with the community.

PHASE 04

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Data & Analytics Layer

Build backend database, user accounts, CME credit tracking, case submission pipeline, and real-time wound outcome analytics dashboard.

PHASE 05

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Institutional Partnerships

Partner with nursing schools, wound care associations (WOCN, AAWC), and hospital systems to license WoundWatch for team training.

PHASE 06

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Mobile App (iOS & Android)

Native app for bedside use. Point camera at wound → instant AI classification → protocol suggestion → case auto-logged to database.

PHASE 07

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Research API & Dataset

Open API for researchers and AI developers. License the annotated wound image dataset to medical AI companies and academic institutions.

Wound IntelligenceClassifier

Upload Wound Image

AI Analysis Results

WoundWatch Platform — Next Steps Roadmap

Wound Intelligence
Classifier