Artificial Intelligence technologies for assessing skin lesions for referral on the urgent suspected cancer pathway to detect benign lesions and reduce secondary care specialist appointments: early value assessment

This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: NIHR136014) and is published in full in <i>Health Technology Assessment</i>; Vol. 30, No. 10. See the NIHR Funding and Awards website for further award information.

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Publication Details

Journal
Health Technology Assessment
Published
2025-03-17
DOI
https://doi.org/10.3310/gjms0317
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence technologies for assessing skin lesions for referral on the urgent suspected cancer pathway to detect benign lesions and reduce secondary care specialist appointments: early value assessment

Alexis Llewellyn, Joseph Lord, Mark Simmonds, Matthew Walton et al.
Health Technology Assessment
Cutaneous Melanoma Detection and Management
article

Artificial Intelligence technologies for assessing skin lesions for referral on the urgent suspected cancer pathway to detect benign lesions and reduce secondary care specialist appointments: early value assessment

Alexis Llewellyn, Joseph Lord, Mark Simmonds, Matthew Walton, Melissa Harden, Robert Hodgson, Eleonora Uphoff
article en

Abstract

This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: NIHR136014) and is published in full in <i>Health Technology Assessment</i>; Vol. 30, No. 10. See the NIHR Funding and Awards website for further award information.

Health Technology AssessmentVol. 30(10)
University of York (GB)
Openalex Percentile: Top 27%
Cutaneous Melanoma Detection and Management
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