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Open Access 28-10-2022 | Melanoma | Commentary

Artificial Intelligence in Dermatology: Challenges and Perspectives

Authors: Konstantinos Liopyris, Stamatios Gregoriou, Julia Dias, Alexandros J. Stratigos

Published in: Dermatology and Therapy | Issue 12/2022

Abstract

Artificial intelligence (AI) based on machine learning and convolutional neuron networks (CNN) is rapidly becoming a realistic prospect in dermatology. Non-melanoma skin cancer is the most common cancer worldwide and melanoma is one of the deadliest forms of cancer. Dermoscopy has improved physicians’ diagnostic accuracy for skin cancer recognition but unfortunately it remains comparatively low. AI could provide invaluable aid in the early evaluation and diagnosis of skin cancer. In the last decade, there has been a breakthrough in new research and publications in the field of AI. Studies have shown that CNN algorithms can classify skin lesions from dermoscopic images with superior or at least equivalent performance compared to clinicians. Even though AI algorithms have shown very promising results for the diagnosis of skin cancer in reader studies, their generalizability and applicability in everyday clinical practice remain elusive. Herein we attempted to summarize the potential pitfalls and challenges of AI that were underlined in reader studies and pinpoint strategies to overcome limitations in future studies. Finally, we tried to analyze the advantages and opportunities that lay ahead for a better future for dermatology and patients, with the potential use of AI in our practices.

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Title: Artificial Intelligence in Dermatology: Challenges and Perspectives
Authors: Konstantinos Liopyris
Stamatios Gregoriou
Julia Dias
Alexandros J. Stratigos
Publication date: 28-10-2022
Publisher: Springer Healthcare
Keywords: Melanoma
Melanoma
Artificial Intelligence
Skin Cancer
Published in: Dermatology and Therapy / Issue 12/2022
Print ISSN: 2193-8210
Electronic ISSN: 2190-9172
DOI: https://doi.org/10.1007/s13555-022-00833-8

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