计算机辅助诊断以改善诊断病理:一篇综述
Alessandro Caputo1,2, Elisabetta Maffei1,2, Nalini Gupta3
1Department of Pathology, University Hospital "San Giovanni di Dio e Ruggi D'Aragona", Salerno, Italy.
Indian journal of pathology & microbiology
|March 31, 2025
概括
计算机辅助诊断 (CAD) 提高了病理学中的准确性和效率. 这篇评论探讨了CAD CAD的研究.
科学领域:
- 病理学 病理学 病理学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 在诊断病理学中,对准确性和效率的需求日益增加.
- 计算机辅助诊断 (CAD) 作为一种变革性的解决方案的出现.
- 数字病理学和人工智能 (AI) 在医学诊断中日益集成.
研究的目的:
- 探索CAD在诊断病理学的实际应用,影响,优点和弱点.
- 为病理学CAD的最新进展提供全面的概述.
- 为指导未来的研究,临床实践和有关病理学CAD的政策制定.
主要方法:
- 关于英语语言研究的综合文献搜索.
- 专注于CAD工具,数字病理学和病理学中的AI应用.
- 对CAD的影响和道德考虑的调查结果的审查和综合.
主要成果:
- CAD 工具在简化诊断过程和缩短周转时间方面显示出具有变革性的潜力.
- 数字病理学和人工智能集成的重大进展正在提高诊断准确性.
- 计算方法为预后生物标志物发现提供了有希望的前景.
结论:
- 计算机辅助诊断 (CAD) 有潜力彻底改变诊断病理学.
- 包括数据隐私,公平和对人工智能部署的信任在内的伦理考虑需要仔细审查.
- 阐明CAD的视野和陷对于成功融入临床实践至关重要.
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