Journal article

Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies

Karoline Freeman, Jacqueline Dinnes, Naomi Chuchu, Yemisi Takwoingi, Sue E Bayliss, Rubeta N Matin, Abhilash Jain, Fiona M Walter, Hywel C Williams, Jonathan J Deeks

The BMJ | BMJ PUBLISHING GROUP | Published : 2020


OBJECTIVE: To examine the validity and findings of studies that examine the accuracy of algorithm based smartphone applications ("apps") to assess risk of skin cancer in suspicious skin lesions. DESIGN: Systematic review of diagnostic accuracy studies. DATA SOURCES: Cochrane Central Register of Controlled Trials, MEDLINE, Embase, CINAHL, CPCI, Zetoc, Science Citation Index, and online trial registers (from database inception to 10 April 2019). ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Studies of any design that evaluated algorithm based smartphone apps to assess images of skin lesions suspicious for skin cancer. Reference standards included histological diagnosis or follow-up, and expert r..

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University of Melbourne Researchers


Awarded by University of Birmingham

Awarded by NIHR through its Cochrane Systematic Review Programme Grant

Funding Acknowledgements

This paper presents independent research supported by the National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre at the University Hospitals Birmingham NHS Foundation Trust and the University of Birmingham (grant reference No BRC-1215-20009) and is an update of one of a collection of reviews funded by the NIHR through its Cochrane Systematic Review Programme Grant (13/89/15). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.