革命性肝脏成像:人工智能驱动的诊断和分期方面的进步
Shritik Devkota1, Harish Bhujade2, Naveen Kalra2
1Imaging Institute, Cleveland Clinic, Cleveland, OH, USA.
Journal of clinical and experimental hepatology
|February 3, 2026
概括
人工智能 (AI) 通过提高诊断准确性和检测和表征肝病的效率来增强肝脏成像. 人工智能在肝脏细分,肥胖症量化和焦点病变分析等领域表现有前途,有助于精准医学.
科学领域:
- 放射学和肝病学 放射学和肝病学
- 医疗成像医学成像
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 正在彻底改变肝脏成像技术.
- 机器学习和深度学习算法正在被整合到放射学工作流程中.
- 人工智能在肝病评估中提供了更高的诊断准确性,效率和可重复性.
研究的目的:
- 探索AI在肝脏成像中的多样化应用.
- 突出AI在诊断和管理各种肝脏疾病中的作用.
- 讨论AI在临床实践中实施的挑战和未来方向.
主要方法:
- 人工智能算法用于CT和MRI上的自动肝脏细分.
- 以人工智能为基础的图像分析,用于肝硬化病的检测和量化 (超声波,CT,MRI).
- 人工智能用于检测,分类和描述肝脏焦点病变 (例如,HCC,转移).
- 使用多式联络数据,整合人工智能用于HCC风险分层和预测.
主要成果:
- 人工智能能够准确地测量肝脏体积和定位病变.
- 人工智能可提供肝硬化症的非侵入性评估,作为活检的替代方案.
- 人工智能提高了焦点肝病变的明显性,标准化了报告 (LI-RADS),并减少了观察者之间的变化.
- 人工智能有助于预测HCC的发展,攻击性,治疗反应和生存结果.
结论:
- 人工智能在各种肝脏成像应用中显示出显著的潜力,从细分到预后.
- 临床实施面临挑战,包括数据协调,验证,监管批准和道德考虑.
- 持续的研究和多中心研究对于在肝病学中安全有效地整合人工智能至关重要,以改善患者的治疗结果.
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