人工智能在脂肪性肝病图像诊断中的研究进展
Research Progress of Artificial Intelligence in Image Diagnosis of Fatty Liver Disease
DOI: 10.12677/acm.2025.1582303, PDF,    科研立项经费支持
作者: 吕宇睿, 张梦维：绍兴文理学院医学院，浙江 绍兴；赵振华, 杨建峰, 赵 丽*：绍兴市人民医院(绍兴文理学院附属第一医院)放射科，浙江 绍兴
关键词: 人工智能；脂肪性肝病；图像诊断；Artificial Intelligence； Fatty Liver Disease； Image Diagnosis
摘要: 人工智能(AI)的理论和技术日益成熟，其在医疗领域的应用不断扩大，特别是在处理图像方面的应用发展最快。脂肪性肝病发病率高，发病年龄日趋年轻化。脂肪性肝病早期的精准筛查、分类、定性定量诊断，以及进展情况的准确判读等对患者的预防、治疗有重要的意义。本文对AI在超声、CT、MRI、病理图像上对脂肪性肝病诊断的研究进展进行综述。
Abstract: The theory and technology of Artificial Intelligence (AI) are becoming increasingly mature, and its application in the medical field is expanding, especially in the field of image processing. The incidence of fatty liver disease is high, and the age of onset is becoming younger. Accurate screening, classification, qualitative and quantitative diagnosis of fatty liver in the early stage, as well as accurate judgment of the progress of the disease, are of great significance for the prevention and treatment of patients. This article reviews the research progress of AI in the diagnosis of fatty liver disease on ultrasound, CT, MRI, and pathological images.
文章引用：吕宇睿, 张梦维, 赵振华, 杨建峰, 赵丽. 人工智能在脂肪性肝病图像诊断中的研究进展[J]. 临床医学进展, 2025, 15(8): 821-826. https://doi.org/10.12677/acm.2025.1582303

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