利用人工智能识别前列腺活检的需要和临床实践的准备:系统性审查协议
Elisa Martinez-Marroquin1, Minh Chau2, Murray Turner2
1Faculty of Science and Technology, University of Canberra, Canberra, Australian Capital Territory, 2617, Australia. elisa.martinez-marroquin@canberra.edu.au.
Systematic reviews
|July 17, 2023
概括
人工智能 (AI) 在改善前列腺癌诊断准确性和客观性方面表现有前途. 本综述确定了阻碍人工智能在前列腺癌查实践中的应用的证据差距.
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
- 在瘤学瘤学.
背景情况:
- 前列腺癌诊断面临着与侵入性手术相关的变化,不准确性和风险的挑战.
- 人工智能 (AI) 正在成为提高前列腺癌检测诊断准确性和客观性的工具.
- 现有的人工智能研究显示出潜力,但证据上的差距阻碍了其在临床上融入查协议.
研究的目的:
- 系统地审查人工智能技术在预测需要前列腺活检方面的应用.
- 评估AI在前列腺癌查中的诊断准确性.
- 评估人工智能是否准备好在临床实践中用于前列腺癌诊断.
主要方法:
- 在主要数据库 (CINAHL,IEEE Xplore,MEDLINE,Scopus,Web of Science) 中进行全面的系统电子搜索.
- 包括来自临床试验注册表 (Cochrane,ClinicalTrials.gov,ICTRP) 的未发表的研究以及专家要求的参考资料.
- 遵守科克莱恩建议和PRISMA研究和报告指南,并进行独立的文章选和质量评估.
主要成果:
- 本系统性审查将总结用于基于临床和人口统计数据预测前列腺活检必要性的AI技术.
- 审查将分析这些人工智能方法的诊断准确性.
- 这些发现将为AI在临床环境中用于前列腺癌查的潜在采用提供信息.
结论:
- 人工智能具有很大的潜力,可以提高前列腺癌诊断的准确性和客观性.
- 需要进一步的研究来解决证据缺口,并促进AI无整合到临床实践中.
- 这一审查将提供AI在前列腺癌查中的当前作用和未来前景的关键总结.
关键词:
人工智能采用准备度 准备度人工智能的人工智能是人工智能.诊断 诊断 诊断 诊断 诊断诊断途径 诊断途径前列腺癌是什么意思 前列腺癌是什么意思系统审查协议 系统审查协议技术成熟度水平 技术成熟度水平更多相关视频
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