Artificial Intelligence and Deep Learning for Skin Image Analysis.

Deep learning is revolutionizing dermatology, enabling accurate diagnosis of skin lesions, particularly melanoma. Early research demonstrated its potential, but limitations in training data hindered real-world application. Recent advances include diverse datasets and integration with noninvasive imaging techniques, leading to artificial intelligence-powered tools for clinical use. Challenges remain, including the need for robust validation methods, addressing biases, and ensuring patient safety through postmarket surveillance. Foundation models hold promise for future development but require careful consideration of ethical and practical implications. Collaboration between stakeholders is crucial to successfully integrate this transformative technology and improve patient outcomes.

• Publication year

  2025

• Venue

  Dermatologia clinica

• Publication date

  2025-07-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.det.2025.05.004PMID 41093476
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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