Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions
Importance: A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and pathology services. Objective: To determine the accuracy of an artificial intelligence algorithm in identifying melanoma in dermoscopic images of lesions taken with smartphone and digital single-lens reflex (DSLR) cameras. Design, Setting, and Partic
Record details
Published: 16 October 2019
Source: OpenAlex
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (16 October 2019), “Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions,” evidence record 8646, https://ethics.ai/record/8646 (originally published by OpenAlex).
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