Missed melanoma following skin lesion triage by an autonomous artificial intelligence system in a community setting

Skin lesion triage by artificial intelligence (AI) has the potential to improve access to dermatology services but raises important ethical and governance challenges. This fictional case examines a missed melanoma following autonomous AI assessment during a pilot programme in the community, prompting a safety review. It highlights concerns regarding patient safety, informed consent, accountability for diagnostic error, and the need for robust oversight when integrating AI into clinical pathways.

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Publication Details

Journal
Clinical and Experimental Dermatology
Published
2026-07-16
DOI
https://doi.org/10.1093/ced/llag314
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Missed melanoma following skin lesion triage by an autonomous artificial intelligence system in a community setting

Iman Hamid, Neil P Patel, Khawar Hussain
Clinical and Experimental Dermatology
Artificial Intelligence in Healthcare and Education
article

Missed melanoma following skin lesion triage by an autonomous artificial intelligence system in a community setting

Iman Hamid, Neil P Patel, Khawar Hussain
article en

Abstract

Skin lesion triage by artificial intelligence (AI) has the potential to improve access to dermatology services but raises important ethical and governance challenges. This fictional case examines a missed melanoma following autonomous AI assessment during a pilot programme in the community, prompting a safety review. It highlights concerns regarding patient safety, informed consent, accountability for diagnostic error, and the need for robust oversight when integrating AI into clinical pathways.

Clinical and Experimental Dermatology
Imperial College Healthcare NHS Trust (GB), Chelsea and Westminster Hospital NHS Foundation Trust (GB)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
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