Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Clin Lab Med. 2023 Mar;43(1):87-97. doi: 10.1016/j.cll.2022.09.007. Epub 2022 Dec 13.
The development of artificial intelligence and machine learning algorithms may allow for advances in patient care. There are existing and potential applications in cancer diagnosis and monitoring, identification of at-risk groups of individuals, classification of genetic variants, and even prediction of patient ancestry. This article provides an overview of some current and future applications of artificial intelligence in genomic medicine, in addition to discussing challenges and considerations when bringing these tools into clinical practice.
人工智能和机器学习算法的发展可能会推动患者护理的进步。在癌症诊断和监测、识别高危个体群体、分类遗传变异，甚至预测患者祖先方面，已经存在并具有潜在应用。本文除了讨论将这些工具引入临床实践时面临的挑战和考虑因素外，还提供了人工智能在基因组医学中一些当前和未来应用的概述。
