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Updated: May 6, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基于人工智能的模型与肝细胞癌患者中的医生之间的诊断性能:系统性审查和元分析

Feras Al-Obeidat1, Wael Hafez2,3, Muneir Gador3

  • 1College of Technological Innovation, Zayed University, Abu Dubai, United Arab Emirates.

Frontiers in artificial intelligence
|September 3, 2024
PubMed
概括

人工智能 (AI) 模型在检测肝细胞癌 (HCC) 方面表现有前途,与临床医生的灵敏度相匹配. 然而,人工智能应该支持,而不是取代,医生准确的HCC诊断.

关键词:
人工智能模型是AI模型.在HCC中,HCC是HCC.人工智能是一种人工智能.诊断性表现的诊断性表现是什么肝细胞癌是肝细胞癌.

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In clinical practice, the direct measurement of hepatic blood flow to evaluate liver function presents significant challenges due to the intricate and specialized nature of the necessary techniques. Consequently, healthcare professionals often rely on empirical estimates derived from thorough patient examinations and liver function tests to gauge liver health. Among the tools at their disposal, the Child–Pugh and MELD scoring systems stand out for their ability to categorize and assess...
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