人工智能及其在泌尿系结石诊治中的应用进展

doi:10.3969/j.issn.1674-490X.2022.04.005

摘要/Abstract

摘要： 随着医疗保健系统的不断数字化及医疗数据的不断增加,临床医生在准确诊断、制定个性化治疗计划和判断预后等方面面临着重大的挑战。泌尿系结石存在形成因素不明、成分复杂、发生部位解剖差异大等问题,阻碍了结石患者的个性化诊治。人工智能可以灵活分析、学习不同的数据类型,为实现泌尿系结石的精确诊治提供一个新思路。现综述人工智能在泌尿系结石中的研究内容,旨在提高对人工智能在泌尿系结石诊治中应用的认识。

关键词: 人工智能, 机器学习, 深度学习, 泌尿系结石, 个性化诊治

Abstract: As healthcare systems continue to digitize and medical data continue to increase, clinicians face significant challenges in making accurate diagnoses, developing personalized treatment plans, and determining prognoses. There are some problems such as unknown formation factors, complex components, and large anatomical differences in the occurrence sites of urinary calculi, which hinder the personalized diagnosis and treatment of patients with calculi. Artificial intelligence can flexibly analyze and learn different data types, providing new ideas for the accurate diagnosis and treatment of urinary calculi. This paper reviews the research content of artificial intelligence in the diagnosis and treatment of urinary calculi to improve the understanding of the application of artificial intelligence in the diagnosis and treatment of urinary calculi.

Key words: artificial intelligence, machine learning, deep learning, urinary calculi, personalized diagnosis and treatment

中图分类号:

占小飞,崔振宇,赵春利. 人工智能及其在泌尿系结石诊治中的应用进展[J]. 医学研究与教育, 2022, 39(4): 30-38.

ZHAN Xiaofei, CUI Zhenyu, ZHAO Chunli. Advances on artificial intelligence in the diagnosis and treatment of urinary calculi[J]. Journal of Hebei Medical College for Continuing Education, 2022, 39(4): 30-38.

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