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Artificial Intelligence Applications in Dermatology: Where Do We Stand?

Arieh Gomolin1, Elena Netchiporouk1, Robert Gniadecki2

  • 1Division of Dermatology, McGill University Health Centre, Montreal, QC, Canada.

Frontiers in Medicine
|April 17, 2020
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is advancing in dermatology, primarily for diagnosing skin lesions. Overcoming barriers like bias and physician acceptance is key for AI

Keywords:
artificial intelligencebarrierscontact allergensdermatologymachine learningmelanomanevipsoriasis

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Area of Science:

  • Dermatology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly utilized in medicine, particularly in dermatology.
  • Understanding AI's progress is crucial for healthcare providers and patients.
  • Existing literature includes numerous articles and commentaries, but few comprehensive reviews.

Purpose of the Study:

  • To review AI applications in dermatology.
  • To identify specific dermatological topics addressed by AI.
  • To determine the main barriers to AI implementation in dermatology.

Main Methods:

  • Literature review of publications on AI in dermatology.
  • Analysis of publication types, AI applications, and implementation challenges.

Main Results:

  • Most AI applications focus on differentiating benign and malignant skin lesions.
  • Other applications include analysis of ulcers, inflammatory diseases, and gene expression.
  • Common AI tools analyze images and provide risk assessments.
  • Identified barriers include systematic biases, standardization issues, interpretability, and acceptance by users.

Conclusions:

  • AI shows technological feasibility in dermatology but faces significant implementation hurdles.
  • Further clinical investigation is needed to demonstrate AI's success in overcoming these barriers.
  • Addressing identified challenges will facilitate the integration of AI into dermatological practice.