Premium
Artificial intelligence and melanoma: A comprehensive review of clinical, dermoscopic, and histologic applications
Author(s) -
Stiff Katherine M.,
Franklin Matthew J.,
Zhou Yufei,
Madabhushi Anant,
Knackstedt Thomas J.
Publication year - 2022
Publication title -
pigment cell and melanoma research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.618
H-Index - 105
eISSN - 1755-148X
pISSN - 1755-1471
DOI - 10.1111/pcmr.13027
Subject(s) - melanoma diagnosis , sophistication , melanoma , artificial intelligence , applications of artificial intelligence , medicine , computer science , medical physics , cancer research , social science , sociology
Abstract Melanoma detection, prognosis, and treatment represent challenging and complex areas of cutaneous oncology with considerable impact on patient outcomes and healthcare economics. Artificial intelligence (AI) applications in these tasks are rapidly developing. Neural networks with increasing levels of sophistication are being implemented in clinical image, dermoscopic image, and histopathologic specimen classification of pigmented lesions. These efforts hold promise of earlier and highly accurate melanoma detection, as well as reliable prognostication and prediction of therapeutic response. Herein, we provide a brief introduction to AI, discuss contemporary investigational applications of AI in melanoma, and summarize challenges encountered with AI.