Who writes the note
The training data behind artificial intelligence scribes in dermatology.
Parikh AK, Lipner SR
Clinics in DermatologyIn the feed 22 Jul 2026, published online 22 Jul 2026, issue 2026 Jul 22, added to PubMed 22 Jul 2026
Topics: Imaging, dermoscopy & AI
Abstract
Artificial intelligence scribes are increasingly used to reduce clinical documentation burden, but ethical evaluation must extend beyond efficiency to include training, governance, privacy, and patient trust. Because artificial intelligence systems rely on human-generated data, annotation errors and biases may become embedded and affect clinical documentation, particularly in dermatology, where nuanced patient narratives and sensitive information are essential. Concerns regarding transparency, secondary data use, and physician accountability highlight the need for strong safeguards and human oversight. Responsible adoption of artificial intelligence scribes requires careful attention to the human systems behind these technologies, not only their technical performance.
Abstract from PubMed
PMID 42486242 · DOI 10.1016/j.clindermatol.2026.07.012