An insight on the interventions of AI in healthcare—A bibliometric study

Vineed Kumar Vijayan, Smiju Is, Jose John
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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.
洞察人工智能在医疗保健领域的应用--文献计量学研究
背景:人工智能(AI)在医疗保健领域的应用正在迅速扩大,是促进医疗保健发展的关键因素。目标:本分析的目的是对医疗保健领域有关人工智能的出版物进行动态、全面的文献计量分析。方法:通过搜索科学网(Clarivate PLC),找到了截至 2023 年 4 月所有可用且引用率高的与医疗保健相关的英文人工智能研究论文。根据文献计量学指标创建了一种搜索技术,以评估标题的合格性,必要时使用摘要和全文。搜索结果在搜索过程中发现了 6254 条信息,其中 3107 篇论文被用于分析。美国是在医疗保健领域发表人工智能研究论文最多的国家。印度位居第四,排在它们前面的是中国和英国。斯坦福大学、哈佛大学医学院和阿卜杜勒-阿齐兹国王大学也发表了相关论文。结论未来的研究应集中于缩小临床应用与人工智能医疗研究之间的差距。应开展更多的研究,特别是在伦理、数据治理、数据清晰度等领域,以及医护人员在人工智能辅助医疗领域更新技能可能需要的培训形式的额外投入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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