Artificial intelligence scribing in dermatology

Authors

  • Vera Wang Western University of Health Sciences College of Osteopathic Medicine of the Pacific, Pomona, California, USA
  • Andre Aabedi Western University of Health Sciences College of Osteopathic Medicine of the Pacific, Pomona, California, USA
  • Lana Danial A. T. Still University School of Osteopathic Medicine, Mesa, Arizona, USA
  • Haley Harper Edward Via College of Osteopathic Medicine, Auburn, Alabama,
  • Brooke Blan Midwestern University Arizona College of Osteopathic Medicine, Glendale, Arizona, USA

DOI:

https://doi.org/10.18203/issn.2455-4529.IntJResDermatol20254131

Keywords:

Artificial intelligence, Dermatology, AI scribing

Abstract

Artificial intelligence (AI) scribing tools are transforming clinical documentation by automating note-taking through speech recognition and natural language processing. In dermatology, AI scribes offer the potential to improve efficiency, reduce physician burnout, and enhance the quality of patient care with diagnostic integration and precise visual and descriptive documentation. However, challenges remain in the form of transcription errors, integration with electronic health records, cost barriers, and concerns over data privacy. Additionally, dermatology-specific AI scribes are significantly under-researched, with only one early pilot study demonstrating promising benefits. The successful adoption of AI scribes in dermatology depends on refining language models, ensuring regulatory compliance, and tailoring systems to meet specialty-specific needs such as high-quality image documentation and description. Overall, AI scribing represents a valuable augmentative tool with the potential to reshape dermatologic care when implemented thoughtfully and ethically.

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Published

2025-12-22

How to Cite

Wang, V., Aabedi, A., Danial, L., Harper, H., & Blan, B. (2025). Artificial intelligence scribing in dermatology . International Journal of Research in Dermatology, 12(1), 93–96. https://doi.org/10.18203/issn.2455-4529.IntJResDermatol20254131

Issue

Section

Review Articles