BACKGROUND In recent years,the utilization of artificial intelligence(AI)technology has gained prominence in the field of liver disease.AIM To analyzes AI research in the field of liver disease,summarizes the current ...BACKGROUND In recent years,the utilization of artificial intelligence(AI)technology has gained prominence in the field of liver disease.AIM To analyzes AI research in the field of liver disease,summarizes the current research status and identifies hot spots.METHODS We searched the Web of Science Core Collection database for all articles and reviews on hepatopathy and AI.The time spans from January 2007 to August 2023.We included 4051 studies for further collection of information,including authors,countries,institutions,publication years,keywords and references.VOS viewer,CiteSpace,R 4.3.1 and Scimago Graphica were used to visualize the results.RESULTS A total of 4051 articles were analyzed.China was the leading contributor,with 1568 publications,while the United States had the most international collaborations.The most productive institutions and journals were the Chinese Academy of Sciences and Frontiers in Oncology.Keywords co-occurrence analysis can be roughly summarized into four clusters:Risk prediction,diagnosis,treatment and prognosis of liver diseases."Machine learning","deep learning","convolutional neural network","CT",and"microvascular infiltration"have been popular research topics in recent years.CONCLUSION AI is widely applied in the risk assessment,diagnosis,treatment,and prognosis of liver diseases,with a shift from invasive to noninvasive treatment approaches.展开更多
BACKGROUND Liver cirrhosis is the leading cause of liver-related mortality worldwide. It is currently a global health challenge.AIM This research intended to explore and analyse research trends and frontiers in this f...BACKGROUND Liver cirrhosis is the leading cause of liver-related mortality worldwide. It is currently a global health challenge.AIM This research intended to explore and analyse research trends and frontiers in this field during the last 10 years, providing new inspiration for clinical decisionmaking and scientific research.METHODS Publications on hepatic cirrhosis research were retrieved from the Web of Science Core Collection on April 4, 2021. Bibliometric visualisation was conducted through VOSviewer and CiteSpace.RESULTS The analytic research was based on original articles and reviews. A total of 7775records of hepatic cirrhosis published from 2011 to 2020 were retrieved. In the past ten years, the number of related annual publications has increased significantly, especially in the United States and China. All publications were distributed among 109 countries. The United States contributed the most(21.95%)and was consistently the leading driving force, with a solid academic reputation in this area. The University of Barcelona distributed the most related articles(177articles) and was cited the most frequently. The Journal of Hepatology ranked third in the top 10journals, which has the highest impact factor(impact factor 2019 = 20.582). Jasmohan S. Bajaj was the most productive author(72 articles). Burst keywords(e.g., sofosbuvir, burden, care, sarcopenia,chronic liver failure, human gut microbiome, and nonalcoholic fatty liver disease) and a succession of reference citation bursts have provided clues about research frontiers in recent years.CONCLUSION This study identified developing trends in the evolution of liver cirrhosis to provide new inspiration for researchers.展开更多
基金Supported by Natural Science Foundation of Sichuan Province,China,No.2022NSFSC1378.
文摘BACKGROUND In recent years,the utilization of artificial intelligence(AI)technology has gained prominence in the field of liver disease.AIM To analyzes AI research in the field of liver disease,summarizes the current research status and identifies hot spots.METHODS We searched the Web of Science Core Collection database for all articles and reviews on hepatopathy and AI.The time spans from January 2007 to August 2023.We included 4051 studies for further collection of information,including authors,countries,institutions,publication years,keywords and references.VOS viewer,CiteSpace,R 4.3.1 and Scimago Graphica were used to visualize the results.RESULTS A total of 4051 articles were analyzed.China was the leading contributor,with 1568 publications,while the United States had the most international collaborations.The most productive institutions and journals were the Chinese Academy of Sciences and Frontiers in Oncology.Keywords co-occurrence analysis can be roughly summarized into four clusters:Risk prediction,diagnosis,treatment and prognosis of liver diseases."Machine learning","deep learning","convolutional neural network","CT",and"microvascular infiltration"have been popular research topics in recent years.CONCLUSION AI is widely applied in the risk assessment,diagnosis,treatment,and prognosis of liver diseases,with a shift from invasive to noninvasive treatment approaches.
文摘BACKGROUND Liver cirrhosis is the leading cause of liver-related mortality worldwide. It is currently a global health challenge.AIM This research intended to explore and analyse research trends and frontiers in this field during the last 10 years, providing new inspiration for clinical decisionmaking and scientific research.METHODS Publications on hepatic cirrhosis research were retrieved from the Web of Science Core Collection on April 4, 2021. Bibliometric visualisation was conducted through VOSviewer and CiteSpace.RESULTS The analytic research was based on original articles and reviews. A total of 7775records of hepatic cirrhosis published from 2011 to 2020 were retrieved. In the past ten years, the number of related annual publications has increased significantly, especially in the United States and China. All publications were distributed among 109 countries. The United States contributed the most(21.95%)and was consistently the leading driving force, with a solid academic reputation in this area. The University of Barcelona distributed the most related articles(177articles) and was cited the most frequently. The Journal of Hepatology ranked third in the top 10journals, which has the highest impact factor(impact factor 2019 = 20.582). Jasmohan S. Bajaj was the most productive author(72 articles). Burst keywords(e.g., sofosbuvir, burden, care, sarcopenia,chronic liver failure, human gut microbiome, and nonalcoholic fatty liver disease) and a succession of reference citation bursts have provided clues about research frontiers in recent years.CONCLUSION This study identified developing trends in the evolution of liver cirrhosis to provide new inspiration for researchers.
