基于人工智能的超声波弹性图形用于疾病评估 - - 一个叙事性审查
Xian-Ya Zhang1, Qi Wei1, Ge-Ge Wu1
1Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Frontiers in oncology
|June 19, 2023
概括
人工智能 (AI) 增强了超声波弹性图 (USE) 以实现更客观的疾病诊断. 在USE中集成AI可以提高检测和分类各种器官中病变的准确性,克服操作员的变化.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 生物医学工程 生物医学工程
背景情况:
- 超声波弹性图 (USE) 提供组织度信息,补充了传统的超声波.
- 使用非侵入性和无辐射,提高诊断能力.
- 操作员的依赖性和观察者的变化性可能会限制视觉USE评估的诊断准确性.
研究的目的:
- 为放射科医生审查使用EE和AI技术的基本概念.
- 将AI应用引入USE,用于病变检测,细分,分类和预后.
- 讨论当前的挑战和人工智能在USE的未来方向.
主要方法:
- 对医疗图像分析相关的AI技术的概述.
- 在肝脏,乳腺,甲状腺和其他器官中使用人工智能应用的审查.
- 专注于人工智能用于病变检测,细分,ML辅助分类和预后预测.
主要成果:
- 人工智能在疾病评估的应用USE中表现出增强的诊断性能.
- 人工智能集成旨在提供更客观,更准确的诊断.
- 用户中的AI显示了改善病变特征和患者结果预测的潜力.
结论:
- 人工智能具有很大的潜力,可以克服手工USE解释的局限性.
- 人工智能辅助的使用可以带来更客观,更准确和更智能的诊断结果.
- 对人工智能应用和USE中的挑战进行进一步的研究是临床进步的必要条件.
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