A brief overview of artificial intelligence techniques applied to medical data related to oncology is provided. The actual goals of using artificial intelligence are listed, that is, the types of applied problems solved with its use. The initial information is described, which, as a rule, contains genotypic data: about DNA and associated molecules, as well as the general clinical parameters of patients. The description of the logical-mathematical and software approaches of the most known solutions in this area is given. This work is intended to familiarize data analysts with the challenges in modern oncology with the use of artificial intelligence, as well as to guide biomedical researchers on the variety of data-mining methods and capabilities.

提供了应用于与肿瘤学有关的医学数据的人工智能技术的简要概述。列出了使用人工智能的实际目标，即使用人工智能解决的应用问题的类型。描述了最初的信息，通常包含基因型数据：有关DNA和相关分子的信息，以及患者的一般临床参数。给出了该领域中最著名的解决方案的逻辑数学和软件方法的描述。这项工作旨在通过人工智能的使用使数据分析人员熟悉现代肿瘤学的挑战，并指导生物医学研究人员了解各种数据挖掘方法和功能。