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AI-Powered Diagnostic Tools in Dermatology: A Review.
Kaushik Venkatesh1, Apoorva Mehta2, Baraa Hijaz3
1Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA; Department of Dermatology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02115, USA.
Dermatologic Clinics
|October 15, 2025
Summary
Artificial intelligence (AI) tools show dermatologist-level accuracy in diagnosing skin cancers and common skin conditions. AI enhances dermatological care by improving diagnostic capabilities for various skin diseases.
Area of Science:
- Dermatology
- Medical Artificial Intelligence (AI)
Background:
- Healthcare systems face challenges in dermatology, including dermatologist shortages and rising patient demand.
- AI offers potential solutions to improve diagnostic efficiency and accessibility in dermatological care.
Purpose of the Study:
- To review the application of AI-enabled diagnostic tools in dermatology.
- To explore AI's role in diagnosing skin cancers, non-cancerous dermatological conditions, and through supplemental imaging.
Main Methods:
- Literature review of AI applications in dermatological diagnostics.
- Analysis of AI model performance in detecting various skin conditions.
Main Results:
- AI models demonstrate accuracy, sensitivity, and specificity comparable to dermatologists for skin cancers (melanoma, basal cell carcinoma, squamous cell carcinoma).
- AI tools are effective in diagnosing common inflammatory and autoimmune conditions like psoriasis, eczema, and acne.
- Integration of AI with imaging modalities (dermoscopy, OCT, RCM) improves diagnostic accuracy.
Conclusions:
- AI holds significant potential to augment dermatological diagnostics and address care challenges.
- AI-powered tools can enhance the accuracy and efficiency of diagnosing a wide range of skin diseases.
