An insight on the interventions of AI in healthcare—A bibliometric study
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.
Keywords
Full Text:
PDFReferences
1. Meskó B, Drobni Z, Bényei É, et al. Digital health is a cultural transformation of traditional healthcare. mHealth. 2017, 3: 38-38. doi: 10.21037/mhealth.2017.08.07
2. Doyle OM, Leavitt N, Rigg JA. Finding undiagnosed patients with hepatitis C infection: an application of artificial intelligence to patient claims data. Scientific Reports. 2020, 10(1). doi: 10.1038/s41598-020-67013-6
3. Massaro M, Dumay J, Guthrie J. On the shoulders of giants: undertaking a structured literature review in accounting. Accounting, Auditing & Accountability Journal. 2016, 29(5): 767-801. doi: 10.1108/aaaj-01-2015-1939
4. Junquera B, Mitre M. Value of bibliometric analysis for research policy: A case study of Spanish research into innovation and technology management. Scientometrics. 2007, 71(3): 443-454. doi: 10.1007/s11192-007-1689-9
5. Aria M, Cuccurullo C. Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics. 2017, 11(4): 959-975. doi: 10.1016/j.joi.2017.08.007
6. Casadesus R. How to Design a Winning Business Model. Available online: https://hbr.org/2011/01/how-to-design-a-winning-business-model (accessed on 4 October 2023).
7. Saad G. Exploring the h-index at the author and journal levels using bibliometric data of productive consumerscholars and business-related journals respectively. Scientometrics. 2006, 69(1): 117-120. doi: 10.1007/s11192-006-0142-9
8. Egghe L. Theory and practise of the g-index. Scientometrics. 2006, 69(1): 131-152. doi: 10.1007/s11192-006-0144-7
9. Engqvist L, Frommen JG. The h-index and self-citations. Trends in Ecology & Evolution. 2008, 23(5): 250-252. doi: 10.1016/j.tree.2008.01.009
10. Sunarti S, Fadzlul Rahman F, Naufal M, et al. Artificial intelligence in healthcare: opportunities and risk for future. Gaceta Sanitaria. 2021, 35: S67-S70. doi: 10.1016/j.gaceta.2020.12.019
11. Brasse J, Broder HR, Förster M, et al. Explainable artificial intelligence in information systems: A review of the status quo and future research directions. Electronic Markets. 2023, 33(1). doi: 10.1007/s12525-023-00644-5
12. Arora A. Conceptualising Artificial Intelligence as a Digital Healthcare Innovation: An Introductory Review. Medical Devices: Evidence and Research, 2020, 13: 223–230. doi: 10.2147/MDER.S262590
13. Gupta NS, Kumar P. Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine. Computers in Biology and Medicine. 2023, 162: 107051. doi: 10.1016/j.compbiomed.2023.107051
14. Junaid SB, Imam AA, Balogun AO, et al. Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey. Healthcare. 2022, 10(10): 1940. doi: 10.3390/healthcare10101940
15. Chomutare T, Tejedor M, Svenning TO, et al. Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators. International Journal of Environmental Research and Public Health. 2022, 19(23): 16359. doi: 10.3390/ijerph192316359
16. Kitsios F, Kamariotou M, Syngelakis AI, et al. Recent Advances of Artificial Intelligence in Healthcare: A Systematic Literature Review. Applied Sciences. 2023, 13(13): 7479. doi: 10.3390/app13137479
17. Shaban-Nejad A, Michalowski M, Buckeridge DL. Health intelligence: how artificial intelligence transforms population and personalized health. npj Digital Medicine. 2018, 1(1). doi: 10.1038/s41746-018-0058-9
18. Zahlan A, Ranjan RP, Hayes D. Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research. Technology in Society. 2023, 74: 102321. doi: 10.1016/j.techsoc.2023.102321
19. Amjad A, Kordel P, Fernandes G. A Review on Innovation in Healthcare Sector (Telehealth) through Artificial Intelligence. Sustainability. 2023, 15(8): 6655. doi: 10.3390/su15086655
20. Castro e Melo JAG de Me, Faria Araújo NM. Impact of the Fourth Industrial Revolution on the Health Sector: A Qualitative Study. Healthcare Informatics Research. 2020, 26(4): 328-334. doi: 10.4258/hir.2020.26.4.328
21. Davenport TH, Glaser JP. Factors governing the adoption of artificial intelligence in healthcare providers. Discover Health Systems. 2022, 1(1). doi: 10.1007/s44250-022-00004-8
22. Stanfill MH, Marc DT. Health Information Management: Implications of Artificial Intelligence on Healthcare Data and Information Management. Yearbook of Medical Informatics. 2019, 28(01): 056-064. doi: 10.1055/s-0039-1677913
23. Secinaro S, Calandra D, Secinaro A, et al. The role of artificial intelligence in healthcare: a structured literature review. BMC Medical Informatics and Decision Making. 2021, 21(1). doi: 10.1186/s12911-021-01488-9
24. Almalawi A, Khan AI, Alsolami F, et al. Managing Security of Healthcare Data for a Modern Healthcare System. Sensors. 2023, 23(7): 3612. doi: 10.3390/s23073612
25. Loh, H. W., Ooi, C. P., Seoni, S., Barua, P. D., Molinari, F., & Acharya, U. R. (2022). Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022). Computer Methods and Programs in Biomedicine, 107161.
DOI: https://doi.org/10.32629/jai.v7i4.1148
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Vineed Kumar Vijayan, Smiju IS, Jose John
License URL: https://creativecommons.org/licenses/by-nc/4.0/