模式
领域(数学)
计算机科学
数据集成
数据科学
放射肿瘤学
人工智能
医学物理学
医学
内科学
数据挖掘
放射治疗
社会科学
数学
社会学
纯数学
作者
William Lotter,Michael J. Hassett,Nikolaus Schultz,Kenneth L. Kehl,Eliezer M. Van Allen,Ethan Cerami
出处
期刊:Cancer Discovery
[American Association for Cancer Research]
日期:2024-03-21
卷期号:14 (5): 711-726
被引量:135
标识
DOI:10.1158/2159-8290.cd-23-1199
摘要
AI is increasingly being applied to all aspects of oncology, where several applications are maturing beyond research and development to direct clinical integration. This review summarizes the current state of the field through the lens of clinical translation along the clinical care continuum. Emerging areas are also highlighted, along with common challenges, evolving solutions, and potential future directions for the field.
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