关于超声波衍生放射学和肝脏深度学习的概述
Di Zhang1, Xian-Ya Zhang2, Ya-Yang Duan3
1Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China. yxyxzhangdi@163.com.
Medical ultrasonography
|August 26, 2023
概括
人工智能 (AI),特别是放射学和深度学习,正在彻底改变肝病诊断和预后的医学成像. 这些先进的AI技术提供了超声数据的新见解,以改善患者护理.
科学领域:
- 医学成像分析分析 医学成像分析
- 医学中的人工智能
- 放射学和肝病学 放射学和肝病学
背景情况:
- 人工智能 (AI),放射学和深度学习正在通过从医学成像中提取病理生理学相关信息来改变医疗实践.
- 人工智能正在扩展到传统上需要人类专业知识的领域.
- 超声波衍生的放射学和深度学习对肝脏疾病的评估有希望.
研究的目的:
- 审查放射学和深度学习在超声波肝脏成像中的应用.
- 涵盖肝脏焦点病变的识别和肝纤维化的分期.
- 讨论恶性瘤病理生物学,复发和预后的评估.
主要方法:
- 对人工智能,放射学和深度学习在超声波肝脏成像中的当前文献的综述.
- 分析人工智能在肝损伤点识别,纤维化阶段,瘤评估和预后评估中的应用.
- 在临床实施中识别挑战和机会.
主要成果:
- 人工智能,放射学和深度学习能够对超声波肝脏图像进行详细分析.
- 这些技术有助于诊断肝脏焦点病变和肝纤维化阶段.
- 人工智能有助于评估瘤特征和预测患者的结果.
结论:
- 放射学和超声波中的深度学习为手术前评估和肝脏疾病的预后监测提供了重大潜力.
- 克服当前的障碍对于成功的临床整合至关重要.
- 未来,人工智能将有机会增强肝病管理.
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