单位：[1]Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China,[2]Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China超声影像科华中科技大学同济医学院附属同济医院[3]Department of Internal Medicine, Hirslanden Clinic, Bern, Switzerland
Over the past few years, developments in artificial intelligence (AI), especially in radiomics and deep learning, have enabled the extraction of pathophysiology-related information from varied medical imaging and are progressively transforming medical practice. AI applications are extending into domains previously thought to be accessible only to human experts. Recent research has demonstrated that ultrasound-derived radiomics and deep learning represent an enticing opportunity to benefit preoperative evaluation and prognostic monitoring of diffuse and focal liver disease. This review summarizes the application of radiomics and deep learning in ultrasound liver imaging, including identifying focal liver lesions and staging of liver fibrosis, as well as the evaluation of pathobiological properties of malignant tumors and the assessment of recurrence and prognosis. Besides, we identify important hurdles that must be overcome while also discussing the challenges and opportunities of radiomics and deep learning in clinical applications.
语种：
外文
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类|4 区医学
小类|4 区声学4 区核医学
最新[2025]版：
大类|4 区医学
小类|4 区声学4 区核医学
JCR分区：
出版当年[2021]版：
Q3ACOUSTICSQ4RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版：
Q2ACOUSTICSQ3RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者单位：[1]Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China,
通讯作者：
通讯机构：[1]Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China,[*1]Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University,Hefei, Anhui 230022, China
推荐引用方式(GB/T 7714)：
Zhang Di,Zhang Xian-Ya,Duan Ya-Yang,et al.An overview of ultrasound-derived radiomics and deep learning in liver[J].MEDICAL ULTRASONOGRAPHY.2023,25(4):445-452.doi:10.11152/mu-4080.
APA：
Zhang Di,Zhang Xian-Ya,Duan Ya-Yang,Dietrich Christoph F,Cui Xin-Wu&Zhang Chao-Xue.(2023).An overview of ultrasound-derived radiomics and deep learning in liver.MEDICAL ULTRASONOGRAPHY,25,(4)
MLA：
Zhang Di,et al."An overview of ultrasound-derived radiomics and deep learning in liver".MEDICAL ULTRASONOGRAPHY 25..4(2023):445-452
