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肝病诊断和治疗中的人工智能:大数据分析,深度学习和临床预测模型

Jing-Ran Sun1,2, Xiao-Ning Sun3, Bing-Jiu Lu2

  • 1The Second Department of Infectious Diseases, The First Affiliated Hospital, China Medical University, Shenyang 110001, Liaoning Province, China.

World journal of gastroenterology
|January 2, 2026
PubMed
概括

No abstract available in PubMed .

关键词:
人工智能临床预测模型深度学习肝病学肝病的诊断

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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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