人工智能在神经放射学中的新时代:当前的研究和有前途的工具
Fabíola Bezerra de Carvalho Macruz1,2,3,4, Ana Luiza Mandetta Pettengil Dias5, Celi Santos Andrade6
1Universidade de São Paulo, Hospital das Clínicas, Departamento de Radiologia e Oncologia, Seção de Neurorradiologia, Faculdade de Medicina, São Paulo SP, Brazil.
Arquivos de neuro-psiquiatria
|April 2, 2024
概括
人工智能 (AI) 在放射学,特别是神经放射学领域正在迅速发展. 本综述探讨了神经疾病的AI应用,旨在提高诊断准确性和临床效率.
科学领域:
- 医学成像和诊断 医学成像和诊断
- 人工智能在医学中的应用
- 神经辐射学神经辐射学
背景情况:
- 由于数字化工作流程和标准化数据,放射学非常适合人工智能 (AI) 的采用.
- 超过200个基于人工智能的产品已获得FDA批准,用于像图像增强和分类等任务.
- 人工智能的临床整合需要放射科医生了解他们专业的新兴应用.
研究的目的:
- 对神经放射学中人工智能应用的文献进行调查.
- 专注于人工智能在诊断血管疾病,和神经退行性疾病方面的作用.
- 讨论潜在的算法,概括挑战和商业上可用的AI解决方案.
主要方法:
- 对神经放射学中人工智能应用的文献综述.
- 专注于特定的神经疾病:血管疾病,,脱髓化和神经退行性疾病.
- 讨论人工智能算法,概括挑战和临床解决方案.
主要成果:
- 人工智能在神经放射学中越来越多地用于图像分析和量化.
- 商业AI工具可用于特定的诊断任务.
- 在将人工智能模型推广到广泛的临床应用中,仍然存在挑战.
结论:
- 人工智能有可能显著增强放射学,改善图像分析和定量技术.
- 人工智能可以帮助减轻诊断错误,提高神经放射学效率.
- 对于放射科医生来说,熟悉人工智能应用对于利用其全部潜力至关重要.
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