肺部光学扫描中的人工智能
Elaheh Amini1,2, Amir Jabbarpour1,3, Ran Klein4,2,3,5
1Department of Nuclear Medicine and Molecular Imaging, The Ottawa Hospital, Ottawa, ON, Canada.
概括
人工智能 (AI) 正在彻底改变肺部扫描,改善肺栓塞 (PE) 和慢性阻塞性肺病 (COPD) 等疾病的诊断. 这篇评论详细介绍了人工智能.
科学领域:
- 核医学就是核医学.
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 肺部扫描对于肺栓塞 (PE) 诊断和肺功能评估至关重要.
- 人工智能 (AI) 的整合正在改变这种核医学模式.
- 人工智能应用涵盖了整个肺光束学工作流程,从获取到报告.
研究的目的:
- 审查人工智能在肺部扫描中的当前和未来应用.
- 探索AI在诊断各种肺部疾病中的作用,包括PE,COPD,CTEPH和肺炎.
- 讨论人工智能驱动的图像增强,细分和合成在肺部剪影.
主要方法:
- 对临床上可用的,已发表的和潜在的未来人工智能应用在肺部扫描中的应用进行审查.
- 分析AI对图像采集,重建,解释和报告的影响.
- 强调代表性数据集和人工智能模型的内部验证的重要性.
主要成果:
- 人工智能在PE检测,细分和分类方面显示出巨大的潜力.
- 新兴的人工智能应用程序在诊断COPD,CTEPH和肺炎方面表现有前途.
- 人工智能促进图像增强,交叉模式合成和自动肺叶细分.
结论:
- 人工智能集成为肺部扫描提供了一个振兴途径,与竞争模式相比.
- 仔细考虑数据集和验证对于成功实施AI至关重要.
- 临床医生必须保持警,以防止医疗错误,尽管AI的进步.
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