人工智能在间歇性肺病的临床实践中的潜在作用
1Department of Advanced Medicine for Respiratory Failure and Graduate School of Medicine, Kyoto University, Kyoto, Japan; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Respiratory investigation
|September 14, 2023
概括
人工智能 (AI) 增强了医学成像分析,有助于诊断诸如异常性肺纤维化等疾病. 挑战包括数据采集和对医疗保健中的AI的问责制.
科学领域:
- 医学技术 医学技术 医学技术
- 医学中的人工智能.
- 医学成像分析分析 医学成像分析
背景情况:
- 人工智能 (AI) 越来越多地被用于医疗领域,包括药物发现和诊断.
- 医学成像是人工智能影响的一个重要领域,人工智能驱动的设备获得了监管部门的批准.
- 人工智能在诊断间歇性肺部疾病,如异常性肺纤维化等方面的应用正在出现.
研究的目的:
- 探索AI在医学成像中的应用和影响,特别是用于诊断间歇性肺部疾病.
- 突出人工智能的潜在好处,包括减少医生负担和改进个性化医疗.
- 确定在医疗保健中实施AI所面临的挑战和必要的基础设施.
主要方法:
- 对人工智能技术的分析,应用于高分辨率计算机断层扫描和病理图像.
- 审查人工智能在通过支气管肺活检分析基因表达模式中的作用.
- 审查监管批准和AI医疗器械的临床采用.
主要成果:
- 人工智能技术正在开发和用于诊断间歇性肺部疾病,包括异常性肺纤维化.
- 与图像分析相关的23种AI医疗设备在2022年11月之前在日本获得监管批准.
- 人工智能在减少医生工作量,提高诊断可重复性和推进个性化医疗方面表现有前途.
结论:
- 人工智能具有很大的潜力,可以推进医学成像分析和疾病诊断.
- 解决数据稀缺,问责制和软件更新等挑战对于AI集成至关重要.
- 开发强大的研究基础设施,包括大规模的数据库和共同平台,对于人工智能在医疗保健中的未来至关重要.
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