Review and bibliometric analysis of AI-driven advancements in healthcare
Purpose: This research intends to use literature review and bibliometric analysis methods to visually review the development status and important historical milestones of Artificial Intelligence, as well as the basic research, key topics, and future potential research hot spots of AI in the healthca...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/111553/ http://psasir.upm.edu.my/id/eprint/111553/1/10-Wang-et-al.pdf |
| _version_ | 1848865718052847616 |
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| author | Wang, Yi Jie Choo, Wei Chong Ng, Keng Yap |
| author_facet | Wang, Yi Jie Choo, Wei Chong Ng, Keng Yap |
| author_sort | Wang, Yi Jie |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Purpose: This research intends to use literature review and bibliometric analysis methods to visually review the development status and important historical milestones of Artificial Intelligence, as well as the basic research, key topics, and future potential research hot spots of AI in the healthcare field. Methodology: Conduct in-depth analysis of AI in healthcare through bibliometrics methods such as publication activity analysis, co-occurrence analysis, and co-authorship analysis. Findings: This study outlines the development time trajectory of AI technology and its application in healthcare. Research shows that "algorithm", "machine learning", "deep learning", "controlled study", "major clinical study" and "healthcare delivery" as well as "decision support systems" are key topics for research. Gender-related research and ethical issues are areas of future focus. Research implications: The practical significance is that it can clarify and optimize the key directions of AI to improve the quality of medical decision-making, improve diagnostic accuracy and guide market investment. The originality is reflected in the comprehensive analysis of the development trajectory of AI in the medical and health field. Through a unique perspective and systematic approach, it provides an important reference for research trends and future directions in the field. |
| first_indexed | 2025-11-15T14:09:09Z |
| format | Article |
| id | upm-111553 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:09:09Z |
| publishDate | 2024 |
| publisher | Universiti Putra Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1115532024-08-08T08:27:18Z http://psasir.upm.edu.my/id/eprint/111553/ Review and bibliometric analysis of AI-driven advancements in healthcare Wang, Yi Jie Choo, Wei Chong Ng, Keng Yap Purpose: This research intends to use literature review and bibliometric analysis methods to visually review the development status and important historical milestones of Artificial Intelligence, as well as the basic research, key topics, and future potential research hot spots of AI in the healthcare field. Methodology: Conduct in-depth analysis of AI in healthcare through bibliometrics methods such as publication activity analysis, co-occurrence analysis, and co-authorship analysis. Findings: This study outlines the development time trajectory of AI technology and its application in healthcare. Research shows that "algorithm", "machine learning", "deep learning", "controlled study", "major clinical study" and "healthcare delivery" as well as "decision support systems" are key topics for research. Gender-related research and ethical issues are areas of future focus. Research implications: The practical significance is that it can clarify and optimize the key directions of AI to improve the quality of medical decision-making, improve diagnostic accuracy and guide market investment. The originality is reflected in the comprehensive analysis of the development trajectory of AI in the medical and health field. Through a unique perspective and systematic approach, it provides an important reference for research trends and future directions in the field. Universiti Putra Malaysia 2024 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/111553/1/10-Wang-et-al.pdf Wang, Yi Jie and Choo, Wei Chong and Ng, Keng Yap (2024) Review and bibliometric analysis of AI-driven advancements in healthcare. Asia-Pacific Journal of Molecular Biology and Biotechnology, 32 (2). pp. 84-97. ISSN 0128-7451 ; EISSN: 2672-7277 https://www.msmbb.my/images/publication/volume_32/issue_2/10-Wang-et-al.pdf 10.35118/apjmbb.2024.032.2.10 |
| spellingShingle | Wang, Yi Jie Choo, Wei Chong Ng, Keng Yap Review and bibliometric analysis of AI-driven advancements in healthcare |
| title | Review and bibliometric analysis of AI-driven advancements in healthcare |
| title_full | Review and bibliometric analysis of AI-driven advancements in healthcare |
| title_fullStr | Review and bibliometric analysis of AI-driven advancements in healthcare |
| title_full_unstemmed | Review and bibliometric analysis of AI-driven advancements in healthcare |
| title_short | Review and bibliometric analysis of AI-driven advancements in healthcare |
| title_sort | review and bibliometric analysis of ai-driven advancements in healthcare |
| url | http://psasir.upm.edu.my/id/eprint/111553/ http://psasir.upm.edu.my/id/eprint/111553/ http://psasir.upm.edu.my/id/eprint/111553/ http://psasir.upm.edu.my/id/eprint/111553/1/10-Wang-et-al.pdf |