通过基于人工智能的方法改变尿路结石疾病的管理:综合性审查
Anastasios Anastasiadis1, Antonios Koudonas1, Georgios Langas1
11st Department of Urology, Aristotle University of Thessaloniki, School of Medicine, "G.Gennimatas" General Hospital, Thessaloniki, Greece.
Asian journal of urology
|August 4, 2023
概括
人工智能 (AI) 通过改进诊断和治疗,提高了尿路结石疾病的管理. 需要进一步的研究来将人工智能工具整合到临床实践中,以获得更好的患者结果.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 尿路结石病带来了重大的临床挑战.
- 现有的管理策略可以通过先进的技术来改进.
- 人工智能 (AI) 提供了泌尿器科护理的潜在进展.
研究的目的:
- 对人工智能在尿路结石疾病评估和管理中的应用进行现有研究进行全面审查.
- 确定创新的AI概念和支持在尿病护理中的应用.
主要方法:
- 在PubMed,Scopus和谷歌学者中进行了系统的文献审查.
- 从2000年1月到2023年9月的搜索包括"内分泌学"",人工智能"",机器学习"和"尿病"等术语.
- 排除标准侧重于排除评论文章,非AI自动化程序和社论.
主要成果:
- 确定了69项研究,重点关注人工智能在尿路结石检测,结果预测,手术优化和石材化学分析方面.
- 人工智能应用在提高诊断准确性和治疗规划方面表现有前途.
- 关键领域包括石头检测,预测治疗成功,以及优化手术程序.
结论:
- 人工智能是改善尿路结石疾病管理的宝贵工具,提供了增强的诊断和治疗能力.
- 电子健康记录和大数据为泌尿器科人工智能开发提供了机会.
- 高质量的研究对于验证和将人工智能整合到实际临床实践中,以管理尿病至关重要.
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