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Journal | [J] 国际临床医学 Volume 6, Issue 11. 2024.
机器学习在肝脏疾病中的应用现状和未来趋势
作者 : 李 富源, 汪 占金, 蔡 俊杰, 薛 张佗, 周 瀛
DOI: 10.18686/icm.v6i11.16329
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摘要 / Abstract
随着计算能力的提升和数据量的增加，机器学习（ML）在医疗领域的应用越来越广泛，尤其是在肝脏疾病的早期诊断、 风险评估和治疗决策中。本文综述了机器学习在肝脏疾病中的关键应用，包括寻找肝癌的潜在标志物、预测肝脏术后并发症、 识别肝脏疾病的早期危险因素，以及结合影像组学等方面的应用现状与未来趋势。通过分析现有研究，探讨机器学习在肝 脏疾病管理中的潜力与挑战。
关键词 / Keywords
机器学习；肝脏疾病；风险评估；肝包虫病
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