通过人工智能 (AI) 支持的超声波绘制来早期和准确地诊断肥胖肝脏
Sergio Santoro1, Mohamad Khalil2, Hala Abdallah3
1PhD Program in Public Health, Clinical Medicine and Oncology, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy; Eurisko Technology srl, Modugno, BA, Italy.
European journal of internal medicine
|March 15, 2024
概括
人工智能 (AI) 增强了超声波用于诊断肝脏肥胖症,提高了准确性和速度. 这种人工智能工具对管理患有脂肪肝疾病的患者表现有前途.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 脂肪性肝病是一个全球性的健康问题,经常使用超声波 (美国) 进行诊断.
- 有限的研究存在于利用人工智能 (AI) 来提高美国肝硬化症的诊断能力.
研究的目的:
- 开发和验证一种基于人工智能的算法,用于评估使用美国图像的肝硬化症.
- 将人工智能算法的诊断准确度与手动测量和参考成像技术进行比较.
主要方法:
- 一个人工智能算法被开发和前性验证在134名患者接受美国.
- 质子密度脂肪分数MRI (MRI-PDFF) 作为参考标准.
- 人工智能衍生的肝指数 (HRIA) 与手动计算的肝指数 (HRIM) 和MRI-PDFF结果进行了比较.
主要成果:
- 人工智能算法 (HRIA) 与肝脏脂肪百分比 (R = 0.79,P < 0.0001) 显示出强烈的相关性,与手动计算相比 (HRIM,R = 0.69,P < 0.0001).
- HRIA在识别乳脂症时,与HRIM (AUC:0.82) 相比,HRIA显示出更高的歧视能力 (AUC:0.87).
- 人工智能算法实现了0.98的AUC,用于区分轻度和中度/重度肥胖症.
结论:
- 人工智能显著提高了超声波的准确性和效率,用于诊断肝硬化症.
- 建议对这种人工智能辅助技术进行常规临床评估,以管理患有脂肪肝疾病的高心脏代谢风险患者.
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