Key issues when considering adopting a skin cancer diagnostic tool that uses artificial intelligence.
- Resource Type
- Academic Journal
- Authors
- Kelly L; York Health Economics Consortium, Enterprise House, Innovation Way, University of York, Heslington, York, UK.; Coote L; York Health Economics Consortium, Enterprise House, Innovation Way, University of York, Heslington, York, UK.; Dinnes J; Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK.; NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK.; Fleming C; Ninewells Hospital and Medical School, Dundee, UK.; Holmes H; York Health Economics Consortium, Enterprise House, Innovation Way, University of York, Heslington, York, UK.; Matin RN; Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Old Road, Headington, Oxford, UK.
- Source
- Publisher: Oxford University Press Country of Publication: England NLM ID: 0004041 Publication Model: Print Cited Medium: Internet ISSN: 1365-2133 (Electronic) Linking ISSN: 00070963 NLM ISO Abbreviation: Br J Dermatol Subsets: MEDLINE
- Subject
- Language
- English
Competing Interests: Conflicts of interest R.N.M. is Chair of the British Association of Dermatologists Artificial Intelligence Working Party Group.