Comparing the number-needed-to-biopsy ratio for melanoma diagnosis by artificial intelligence as a medical device, teledermatology and face-to-face models of care

To the best of our knowledge, this is the first UK study to compare the number-needed-to-biopsy (NNB) ratio for melanoma diagnosis across three different models of care, incorporating artificial intelligence as a medical device (AIaMD) alongside teledermatology. We present encouraging results from our centre, with NNB ratios that are comparable among all three models and lower than the average NNB ratio reported in a worldwide meta-analysis. We highlight the use of AIaMD in the correct identification of benign lesions and encourage further work to improve and validate performance, thereby maintaining patient safety. Finally, we consider a hybrid model as a potential strategy to streamline current pathways and address the increasing demands on urgent skin cancer services.

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Publication Details

Journal
Clinical and Experimental Dermatology
Published
2025-03-11
DOI
https://doi.org/10.1093/ced/llaf120
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
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article

Comparing the number-needed-to-biopsy ratio for melanoma diagnosis by artificial intelligence as a medical device, teledermatology and face-to-face models of care

Louise A. Fearfield, Radhika Bali, Khawar Hussain, Jenny G Chung et al.
2 links
Clinical and Experimental Dermatology
Cutaneous Melanoma Detection and Management
article

Comparing the number-needed-to-biopsy ratio for melanoma diagnosis by artificial intelligence as a medical device, teledermatology and face-to-face models of care

Louise A. Fearfield, Radhika Bali, Khawar Hussain, Jenny G Chung, Lucy Thomas
article en

Abstract

To the best of our knowledge, this is the first UK study to compare the number-needed-to-biopsy (NNB) ratio for melanoma diagnosis across three different models of care, incorporating artificial intelligence as a medical device (AIaMD) alongside teledermatology. We present encouraging results from our centre, with NNB ratios that are comparable among all three models and lower than the average NNB ratio reported in a worldwide meta-analysis. We highlight the use of AIaMD in the correct identification of benign lesions and encourage further work to improve and validate performance, thereby maintaining patient safety. Finally, we consider a hybrid model as a potential strategy to streamline current pathways and address the increasing demands on urgent skin cancer services.

Clinical and Experimental DermatologyVol. 50(7)
Chelsea and Westminster Hospital NHS Foundation Trust (GB)
Good health and well-being
Openalex Percentile: Top 94%
Cutaneous Melanoma Detection and Management
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Comparing the number-needed-to-biopsy ratio for melanoma diagnosis by artificial intelligence as a medical device, teledermatology and face-to-face models of care — Louise A. Fearfield, Radhika Bali, et al. · Clinical and Experimental Dermatology (2025) | TGRS Research Map | TGRS