International Journal of Clinical Research
International Journal of Clinical Research. 2024; 8: (9) ; 10.12208/j.ijcr.20240348 .
总浏览量: 201
1大理大学研究生部 云南大理
2大理大学第二附属医院消化内科 云南昆明
*通讯作者： 杨涓,单位：大理大学第二附属医院消化内科 云南昆明；
随着医学技术的不断进步，机器学习（Machine Learning, ML）在医学领域的应用日益增加，尤其在肝脏病学方面展现了巨大的潜力。本文旨在通过回顾国内外相关研究，总结机器学习在肝脏疾病诊断和治疗中的现状和最新进展，并探讨不同机器学习算法如何提升诊断准确性、优化治疗方案以及改善预后评估。此外，我们还评估了机器学习在临床应用中的优势与挑战，并展望其未来的发展方向。
As medical technology continues to advance, the application of machine learning (ML) in the field of hepatology is increasingly prominent. This paper aims to review relevant domestic and international research, summarize the current status and latest developments of machine learning in the diagnosis and treatment of liver diseases, and explore how different machine learning algorithms can enhance diagnostic accuracy, optimize treatment plans, and improve prognosis assessment. Additionally, we evaluate the advantages and challenges of machine learning in clinical applications while also providing an outlook on its future development direction.
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