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Artificial intelligence in liver imaging: methods and applications

文献类型：期刊论文

作者Zhang, Peng1; Gao, Chaofei1; Huang, Yifei3; Chen, Xiangyi1; Pan, Zhuoshi1; Wang, Lan1; Dong, Di4; Li, Shao1; Qi, Xiaolong2
刊名HEPATOLOGY INTERNATIONAL
出版日期2024-02-20
页码13
关键词Artificial intelligence Liver disease Medical imaging Deep learning Multimodal data
ISSN号1936-0533
DOI10.1007/s12072-023-10630-w
通讯作者Li, Shao(shaoli@mail.tsinghua.edu.cn) ; Qi, Xiaolong(qixiaolong@vip.163.com)
英文摘要Liver disease is regarded as one of the major health threats to humans. Radiographic assessments hold promise in terms of addressing the current demands for precisely diagnosing and treating liver diseases, and artificial intelligence (AI), which excels at automatically making quantitative assessments of complex medical image characteristics, has made great strides regarding the qualitative interpretation of medical imaging by clinicians. Here, we review the current state of medical-imaging-based AI methodologies and their applications concerning the management of liver diseases. We summarize the representative AI methodologies in liver imaging with focusing on deep learning, and illustrate their promising clinical applications across the spectrum of precise liver disease detection, diagnosis and treatment. We also address the current challenges and future perspectives of AI in liver imaging, with an emphasis on feature interpretability, multimodal data integration and multicenter study. Taken together, it is revealed that AI methodologies, together with the large volume of available medical image data, might impact the future of liver disease care.
WOS关键词NEURAL-NETWORK ; HEPATOCELLULAR-CARCINOMA ; DIGITAL MEDICINE ; CANCER ; DIAGNOSIS ; SEGMENTATION ; IMAGES
资助项目National Natural Science Foundation of China[T2341008] ; National Natural Science Foundation of China[81225025] ; National Natural Science Foundation of China[82305047] ; Tsinghua-Toyota Joint Research Fund ; Anhui Province Traditional Chinese Medicine Science and Technology Research Project[202303a07020001]
WOS研究方向Gastroenterology & Hepatology
语种英语
WOS记录号WOS:001171439400003
出版者SPRINGER
资助机构National Natural Science Foundation of China ; Tsinghua-Toyota Joint Research Fund ; Anhui Province Traditional Chinese Medicine Science and Technology Research Project
源URL[http://ir.ia.ac.cn/handle/173211/57959]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Li, Shao; Qi, Xiaolong
作者单位1.Tsinghua Univ, Inst TCM X, Dept Automat, MOE Key Lab Bioinformat,Bioinformat Div,BNRIST, Beijing, Peoples R China
2.Southeast Univ, Zhongda Hosp, Ctr Portal Hypertens,Dept Radiol, Nurturing Ctr Jiangsu Prov State Lab AI Imaging &, Nanjing, Peoples R China
3.Sun Yat Sen Univ, Affiliated Hosp 3, Dept Gastroenterol, Guangzhou, Peoples R China
4.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Peng,Gao, Chaofei,Huang, Yifei,et al. Artificial intelligence in liver imaging: methods and applications[J]. HEPATOLOGY INTERNATIONAL,2024:13.
APA Zhang, Peng.,Gao, Chaofei.,Huang, Yifei.,Chen, Xiangyi.,Pan, Zhuoshi.,...&Qi, Xiaolong.(2024).Artificial intelligence in liver imaging: methods and applications.HEPATOLOGY INTERNATIONAL,13.
MLA Zhang, Peng,et al."Artificial intelligence in liver imaging: methods and applications".HEPATOLOGY INTERNATIONAL (2024):13.

入库方式： OAI收割

来源：自动化研究所

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