Key issues when considering adopting a skin cancer diagnostic tool that uses artificial intelligence
Br J Dermatol
.
2023 Jul 17;189(2):219-222.
doi: 10.1093/bjd/ljad080.
Authors
Laura Kelly
1
,
Laura Coote
1
,
Jacqueline Dinnes
2
3
,
Colin Fleming
4
,
Hayden Holmes
1
,
Rubeta N Matin
5
Affiliations
1
York Health Economics Consortium, Enterprise House, Innovation Way, University of York, Heslington, York, UK.
2
Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
3
NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK.
4
Ninewells Hospital and Medical School, Dundee, UK.
5
Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Old Road, Headington, Oxford, UK.
PMID:
37041689
DOI:
10.1093/bjd/ljad080
No abstract available
MeSH terms
Artificial Intelligence*
Humans
Skin Neoplasms* / diagnosis
Grants and funding
British Association of Dermatologists