| 陈萱,龙湘党.超声联合人工智能评估肝纤维化研究进展[J].中国医学影像技术,2025,41(6):997~1000 |
| 超声联合人工智能评估肝纤维化研究进展 |
| Research progresses of ultrasound combined with artificial intelligence for evaluating hepatic fibrosis |
| 投稿时间：2025-01-07 修订日期：2025-06-15 |
| DOI：10.13929/j.issn.1003-3289.2025.06.032 |
| 中文关键词: 肝硬化 超声检查 人工智能 |
| 英文关键词:liver cirrhosis ultrasonography artificial intelligence |
| 基金项目: |
|
| 摘要点击次数: 572 |
| 全文下载次数: 120 |
| 中文摘要: |
| 慢性肝病是全球主要死亡病因之一,早期准确评估肝纤维化程度对于管理疾病至关重要。超声以其无创、便携、支持实时成像等优势而成为影像学评估慢性肝病的首选方法。人工智能(AI)技术可于超声图像中提取海量定量特征并对开采数据进行系统分析,其用于评估肝纤维化的价值越来越受到关注。本文围绕超声联合AI评估肝纤维化研究进展进行综述。 |
| 英文摘要: |
| Chronic liver disease is one of the leading causes of death worldwide. Accurate early assessment of the severity of hepatic fibrosis is crucial for management of liver disease. Ultrasonography, with its non-invasive, portable and real-time imaging characteristics, has become the preferred method for imaging evaluation of chronic liver diseases. Artificial intelligence (AI) technology can extract massive quantitative features from ultrasound images for subsequent analysis, hence attracted increasing attention in evaluation of hepatic fibrosis. The research progresses of ultrasound combined with AI for evaluating hepatic fibrosis were reviewed in this article. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
