黑色素瘤诊断
复杂度
黑色素瘤
人工智能
人工智能应用
医学
计算机科学
医学物理学
癌症研究
社会科学
社会学
作者
Katherine M. Stiff,Matthew Franklin,Yufei Zhou,Anant Madabhushi,Thomas Knackstedt
摘要
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.
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