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2D Photo-Based Burn Assessment — Research Build

About BurnCare

A clinical research platform, not a commercial medical device.

What this platform does

BurnCare takes a single patient photograph and runs it through an automated pipeline: background removal to isolate the patient from the surroundings, AI-assisted burn-region detection, and total body surface area (TBSA) estimation — either automatically from a printed reference marker in the photo, or from a doctor manually locking a reference scale against a visible ruler or surgical tape. Where a patient's weight is on record, a Parkland-formula fluid resuscitation estimate is computed alongside the TBSA figure.

What it is not

This build is a 2D-photo-only research prototype supporting an ongoing academic study into photo-based TBSA estimation. It is not a certified diagnostic device, and none of its outputs (burn detection, TBSA, severity classification, or fluid estimates) should be treated as a final clinical determination. Every output is a decision-support aid — the treating healthcare professional is always responsible for the actual clinical decision.

Who it's for

Access is restricted to authorized clinical and research personnel who have been granted an account. Patient photographs and case records are only visible to the uploading clinician (or an administrator), never to the general public.

Read next

See the clinical AI disclaimer for the full accuracy/liability notice, the privacy policy for how patient data is handled, and the terms of use for account and usage rules.

BurnCare is an AI-based clinical platform. AI outputs may contain errors — the final clinical decision always rests with the treating healthcare professional.

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