摘要
超声检查无创、实时、价廉,无辐射、便于反复进行,是现在及其重要的医学影像学检查方法,是最常用的肝脏影像学检查方法。人工智能(AI)技术在超声中的运用,一方面提高了疾病诊断准确率,另一方面在一定程度上降低了人工成本。深度学习广泛应用于临床医学大数据分析领域,是一种高通量自动化提取高维度信息的新一代人工智能技术。深度学习可以对影像图像进行快速识别、精确分割,进行辅助诊断工作。本文就人工智能在肝脏疾病超声诊断中的运用展开论述。
Ultrasound examination is noninvasive, real-time, inexpensive, no radiation, easy to repeat, now is an important medical imaging examination method, is the most commonly used liver imaging ex-amination method. The application of artificial intelligence (AI) technology in ultrasound, on the one hand, improves the accuracy of disease diagnosis, and on the other hand, reduces the labor costs to a certain extent. Deep learning is widely used in the field of big data analysis in clinical medicine, and it is a new generation of artificial intelligence technology with high-throughput au-tomated extraction of high-dimensional information. Deep learning can quickly identify and accu-rately segment images, and assist in diagnostic work. This paper discusses the application of artifi-cial intelligence in the ultrasound diagnosis of liver diseases.
出处
《临床医学进展》
2023年第10期16355-16360,共6页
Advances in Clinical Medicine