人工智能辅助的MRI诊断在腰椎退行性磁盘疾病:一个系统性审查
Wongthawat Liawrungrueang1, Jong-Beom Park2, Watcharaporn Cholamjiak3
1Department of Orthopaedics, School of Medicine, University of Phayao, Phayao, Thailand.
Global spine journal
|August 15, 2024
概括
人工智能 (AI) 显著改善了使用MRI扫描的腰椎退行性磁盘疾病 (DDD) 的诊断. 人工智能模型显示出比传统方法更高的准确性,灵敏度和特异性,提高了患者的护理.
科学领域:
- 放射学和医学成像学 医学成像学
- 人工智能在医学中的应用
- 脊柱外科手术 脊柱外科手术
背景情况:
- 腰椎退行性磁盘疾病 (DDD) 构成了全球卫生挑战,传统的诊断方法往往不足.
- 人工智能 (AI),包括机器学习和深度学习,为提高诊断准确性和简化腰部DDD评估工作流提供了先进的功能.
研究的目的:
- 系统地审查AI在磁共振成像 (MRI) 中的应用,以诊断腰部DDD.
- 讨论当前的研究和潜在的临床整合人工智能工具的腰部DDD诊断.
主要方法:
- 对2010年1月1日至2024年1月1日期间发表的研究进行了遵循PRISMA指南的系统文献搜索.
- 包括专注于人工智能应用 (机器学习,深度学习) 的实验和观察研究,用于基于MRI的腰部DDD诊断,并提取有关人工智能技术,性能和结果的数据.
主要成果:
- 包括20项研究,利用各种人工智能方法来检测腰部DDD特征,如退化,和凸起.
- 人工智能模型表现出优于传统方法的性能,报告的准确性,灵敏度和特异性在71.5%至99%之间.
结论:
- 人工智能融入临床实践提供了一种结构化的方法,以提高腰部DDD的诊断精度和患者结果.
- 进一步的研究和验证对于优化AI算法至关重要,以便在腰部DDD诊断中得到广泛的临床采用.
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