在急性肝损伤和肝创伤中放射学的未来前景.
Maria Chiara Brunese1, Pasquale Avella2,3, Micaela Cappuccio2
1Department of Medicine and Health Science "V. Tiberio", University of Molise, 86100 Campobasso, Italy.
Journal of personalized medicine
|June 27, 2024
概括
人工智能 (AI) 在检测和量化儿童和成人急性肝损伤方面表现有前途. 放射学模型证明了临床使用的可靠性,尽管需要更大的验证队伍.
科学领域:
- 医疗成像医学成像
- 人工智能在医学中的应用
- 放射学 放射学是一门学科.
背景情况:
- 急性肝损伤通常是由创伤引起的,但也是由败血症或药物毒性引起的.
- 准确检测和定量受伤的肝脏区域对于患者管理至关重要.
- 现有的诊断方法可能在速度或精度上有局限性.
研究的目的:
- 审查和分析人工智能 (AI) 在检测和量化急性肝损伤方面的能力.
- 评估人工智能在成人和儿童群体中的表现.
- 评估人工智能驱动的放射学对肝损伤的临床应用.
主要方法:
- 使用PubMed数据集进行了系统的文献分析.
- 包括在2018年至2023年之间发表的原始研究文章.
- 选择了至少10名成年或儿科患者队列的研究.
主要成果:
- 分析了6项涉及564名患者 (170名儿童,394名成年人) 的研究.
- 人工智能应用于肝损伤 (66%),败血症 (17%) 和化疗引起的损伤 (17%).
- 计算机断层扫描 (CT) 是主要的成像模式 (83%),报告了高诊断性能,包括三项研究中的特异性>80%.
结论:
- 人工智能驱动的放射学模型在急性肝损伤的临床应用中似乎可靠.
- 这些人工智能工具显示出准确检测和量化肝损伤的潜力.
- 为了更广泛的验证,需要对更大的患者队伍进行进一步的研究.
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