Medical Specialty Hub

AI in Dermatology

Image-based AI for skin lesion classification, melanoma detection, and dermatological screening.

Overview

Dermatology is well-suited to AI because of its image-centric diagnostic process. Models trained on dermoscopy images can classify skin lesions and flag potential melanoma for review, with FDA-cleared tools now available.

Dermatology has more published AI research than almost any specialty and remarkably few authorized devices, and the gap is instructive.

Skin lesion classification from photographs became a benchmark problem in computer vision, with widely reported results matching dermatologist performance on curated image sets. Very little of that reached clearance, because curated image sets are not clinical practice.

The training data problem is severe here

Public dermatology image datasets substantially under-represent darker skin tones. Models trained on them perform worse on the patients for whom diagnostic delay in melanoma already carries the worst outcomes. This is the clearest example in medicine of algorithmic bias arising directly from dataset composition rather than from anything subtle.

The authorized devices took a different route entirely: rather than classifying a photograph, they measure a physical property of the tissue. That sidesteps the image dataset problem, and it is not a coincidence.

Clinical Use Cases

  • Skin lesion classification
  • Melanoma detection screening
  • Acne and psoriasis assessment
  • Teledermatology support
  • Wound assessment

Where The Evidence Actually Stands

Authorized devices are indicated for lesions a clinician has already judged suspicious, which means they support a referral or biopsy decision and do not address the lesion nobody examined. High sensitivity with limited specificity makes them far better at supporting a decision to biopsy than a decision not to. Consumer-facing skin apps are not cleared devices and should not be read as comparable.

FDA-Authorized Devices In This Specialty

2 records currently tracked.

See the full AI in Dermatology device table →

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