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人工智能和传染病成像技术

Winston T Chu^1,2, Syed M S Reza¹, James T Anibal³

¹Center for Infectious Disease Imaging, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA.

The Journal of infectious diseases

|October 3, 2023

概括

由于图形处理单元和COVID-19大流行,人工智能 (AI) 和医疗成像技术迅速发展. 创新侧重于稳定,可泛化的人工智能模型用于传染病研究,改善患者护理.

科学领域:

医学成像医学成像
人工智能 (AI) 是一种人工智能.
传染病研究传染病研究.

背景情况:

图形处理单元 (GPU) 的进步和COVID-19大流行加速了AI和医疗成像开发.
早期的人工智能模型显示出承诺,但缺乏通用性,需要创新.
人工智能对传染病的研究,特别是使用动物模型,解决了关键的证据缺口.

研究的目的:

评估用于传染病成像研究的AI技术.
为突出应用人工智能在传染病成像方面的独特挑战.
讨论新出现的解决方案和该领域的未来方向.

主要方法:

对应于传染病成像的AI技术的审查.
分析人工智能模型概括性和稳定性的挑战.
探索解决方案和未来的研究途径.

主要成果:

人工智能通过增强的医学成像分析提供了改善患者护理的巨大潜力.
克服早期人工智能模型的局限性对于可靠的临床应用至关重要.
人工智能在传染病成像研究中提供了一个独特的发现平台.

结论:

医疗成像AI的持续创新对于推进传染病研究至关重要.
开发稳定和可泛化的人工智能模型是临床翻译的关键.
人工智能在传染病成像中的应用对未来的医学进步充满希望.

关键词:

在这里,我们可以看到AIAIAI.人工智能的人工智能是人工智能.影像成像技术影像成像技术传染病是一种传染性疾病.

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