{"title":"An insight on the interventions of AI in healthcare—A bibliometric study","authors":"Vineed Kumar Vijayan, Smiju Is, Jose John","doi":"10.32629/jai.v7i4.1148","DOIUrl":null,"url":null,"abstract":"Background: The literature on artificial intelligence (AI) in healthcare is expanding quickly and is a key factor in healthcare promotion. Objective: This analysis’s goal is to offer a dynamic and comprehensive bibliometric analysis of publications on artificial intelligence in the field of health care. Methods: All currently available and highly referenced healthcare-related AI research papers published in English up to April 2023 were found by searching the Web of Science (Clarivate PLC). A search technique was created based on bibliometric indications to evaluate the title’s eligibility, using the abstract and full text as necessary. Results: 6254 items were found during the search, and 3107 of those papers were used in the analysis. USA was the country that published most research papers in the field of AI in healthcare. India stood in 4th place, with China and the United Kingdom in front of them. Relevant Affiliations were found in Stanford University, Harvard Med School, followed by King Abdul Aziz University. Conclusion: Future research should concentrate on bridging the gaps between clinical applications and AI healthcare research. More research should be done, especially in the areas of ethics, data governance, clarity of data, and additional inputs in the form of training that might be required for healthcare workers to update their skills in the world of AI-assisted healthcare.","PeriodicalId":508223,"journal":{"name":"Journal of Autonomous Intelligence","volume":"180 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Autonomous Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32629/jai.v7i4.1148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The literature on artificial intelligence (AI) in healthcare is expanding quickly and is a key factor in healthcare promotion. Objective: This analysis’s goal is to offer a dynamic and comprehensive bibliometric analysis of publications on artificial intelligence in the field of health care. Methods: All currently available and highly referenced healthcare-related AI research papers published in English up to April 2023 were found by searching the Web of Science (Clarivate PLC). A search technique was created based on bibliometric indications to evaluate the title’s eligibility, using the abstract and full text as necessary. Results: 6254 items were found during the search, and 3107 of those papers were used in the analysis. USA was the country that published most research papers in the field of AI in healthcare. India stood in 4th place, with China and the United Kingdom in front of them. Relevant Affiliations were found in Stanford University, Harvard Med School, followed by King Abdul Aziz University. Conclusion: Future research should concentrate on bridging the gaps between clinical applications and AI healthcare research. More research should be done, especially in the areas of ethics, data governance, clarity of data, and additional inputs in the form of training that might be required for healthcare workers to update their skills in the world of AI-assisted healthcare.