[人工智能在辐射保护中的机遇:提高诊断成像的安全性]
Ali Pashazadeh1, Christoph Hoeschen2
1Institut für Medizintechnik (IMT), Otto-von-Guericke-Universität Magdeburg, Otto-Hahn-Str. 2, 39016, Magdeburg, Deutschland. ali.pashazadeh@ovgu.de.
Radiologie (Heidelberg, Germany)
|June 22, 2023
概括
人工智能 (AI) 可以增强低剂量医学成像,减少电离辐射对健康的风险. 为了在医学成像中广泛采用AI,需要进一步的研究和质量控制.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 辐射健康 辐射健康
背景情况:
- 医学成像中的电离辐射对健康构成风险.
- 减少辐射剂量会增加图像噪声,并减少信息内容.
- 像CT,PET和血管造影这样的常见方法利用电离辐射.
研究的目的:
- 探索人工智能 (AI) 在改善低剂量医疗图像方面的潜力.
- 评估AI在医学成像中的框架和程序.
- 解决阻碍人工智能采用在减少辐射暴露方面的挑战.
主要方法:
- 对医疗成像中的AI应用进行审查.
- 对人工智能框架和程序进行批判性评估.
- 对AI模型性能和挑战的分析.
主要成果:
- 人工智能可以提高低剂量图像的质量,最大限度地减少辐射暴露.
- 人工智能模型的性能各不相同,高性能模型接近临床准备.
- 挑战包括定量准确性和培训数据不足.
结论:
- 加强人工智能和医学成像深度学习 (DL) 的研发至关重要.
- 确保人工智能模型和无关联的质量保证数据的质量控制至关重要.
- 经过验证的AI可以有助于安全使用低剂量成像技术.
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