This study aims to establish the effectiveness of an Artificial Intelligence (AI) algorithm (DERM) to determine the presence of Basal Cell Carcinoma (BCC) and Squamous Cell Carcinoma (SCC) and frequently observed benign conditions, when used to analyse images of skin lesions taken by commonly available smart phone cameras.
DERM, an Artificial Intelligence (AI)-based diagnosis support tool, has been shown to be able to accurately identify Non-melanoma skin cancers (NMSC) and other conditions from historical images of suspicious skin lesions (moles). This study aims to establish how well DERM determines the presence of these conditions in images of skin lesions collected in a clinical setting. Suspicious skin lesions that are due to be assessed by a dermatologist and a patch of healthy skin will be photographed using three commonly available smart phone cameras with a specific lens attachment. The images will be analysed by DERM, and the results compared to the clinician's diagnosis (all lesions) and histologically-conformed diagnosis (any lesion that is biopsied).
Study Type
OBSERVATIONAL
Enrollment
572
An AI-based diagnosis support tool
Royal Free London NHS Foundation Trust
London, United Kingdom
Royal Victoria Infirmary
Newcastle upon Tyne, United Kingdom
Poole General Hospital
Poole, United Kingdom
AUROC of DERM performance when analysing images of biopsied lesions
Area Under the Receiver Operating Characteristic Curve (AUROC) of the DERM result of biopsied lesions, using histopathological-confirmed diagnosis as gold standard
Time frame: Study completion
AUROC of DERM performance when analysing images of non-biopsied lesions
Area Under the Receiver Operating Characteristic Curve (AUROC) of the DERM result of biopsied lesions, using clinical diagnosis as gold standard
Time frame: Study completion: on average 2 days
The sensitivity of DERM when used to assess biopsied lesions
The sensitivity of DERM when used to assess biopsied lesions
Time frame: Study completion: on average 2 days
The specificity of DERM when used to assess biopsied lesions
The specificity of DERM when used to assess biopsied lesions
Time frame: Study completion: on average 2 days
The false positive rate of DERM when used to assess biopsied lesions
The false positive rate of DERM when used to assess biopsied lesions
Time frame: Study completion: on average 2 days
The false negative rate of DERM when used to assess biopsied lesions
The false negative rate of DERM when used to assess biopsied lesions
Time frame: Study completion: on average 2 days
The positive predictive value of DERM when used to assess biopsied lesions
The positive predictive value of DERM when used to assess biopsied lesions
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Time frame: Study completion: on average 2 days
The negative predictive value of DERM when used to assess biopsied lesions
The negative predictive value of DERM when used to assess biopsied lesions
Time frame: Study completion: on average 2 days
The sensitivity of DERM when used to assess non-biopsied lesions
The sensitivity of DERM when used to assess non-biopsied lesions
Time frame: Study completion: on average 2 days
The specificity of DERM when used to assess non-biopsied lesions
The specificity of DERM when used to assess non-biopsied lesions
Time frame: Study completion: on average 2 days
The false positive rate of DERM when used to assess non-biopsied lesions
The false positive rate of DERM when used to assess non-biopsied lesions
Time frame: Study completion: on average 2 days
The false negative rate of DERM when used to assess non-biopsied lesions
The false negative rate of DERM when used to assess non-biopsied lesions
Time frame: Study completion: on average 2 days
The positive predictive value of DERM when used to assess non-biopsied lesions
The positive predictive value of DERM when used to assess non-biopsied lesions
Time frame: Study completion: on average 2 days
The negative predictive value of DERM when used to assess non-biopsied lesions
The negative predictive value of DERM when used to assess non-biopsied lesions
Time frame: Study completion: on average 2 days
Concordance of clinician assessment with histologically confirmed diagnosis
Concordance of clinician assessment with histologically confirmed diagnosis
Time frame: Study completion: on average 2 days
The concordance of DERM result generated using images from each camera
The concordance of DERM result generated using images from each camera
Time frame: Study completion: on average 2 days
The proportion of skin lesions with 3 images that can be analysed by DERM;
The proportion of skin lesions with 3 images that can be analysed by DERM;
Time frame: Study completion: on average 2 days
The proportion of skin lesions with at least 1 readable image that can be analysed by DERM
The proportion of skin lesions with at least 1 readable image that can be analysed by DERM
Time frame: Study completion: on average 2 days