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review · PeerJ Computer Science

AI in dermatology: a comprehensive review into skin cancer detection

202423 citationsOpen accessMangosuthu University of Technology

Abstract

This comprehensive review highlights the transformative potential of AI in dermatology, particularly in skin cancer detection and diagnosis. While AI technologies have significantly improved diagnostic accuracy, efficiency, and accessibility, several challenges remain. Future research should focus on ensuring data privacy, developing robust AI systems that can generalize across diverse populations, and creating large, high-quality datasets. Integrating AI tools into clinical workflows is critical to maximizing their utility and effectiveness. Continuous innovation and interdisciplinary collaboration will be essential for fully realizing the benefits of AI in skin cancer detection and diagnosis.

Research topics

  • Cutaneous Melanoma Detection and Management
  • AI in cancer detection
  • Nonmelanoma Skin Cancer Studies

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DOI: 10.7717/peerj-cs.2530

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