Application of artificial intelligence in medical technologies: a systematic review of main trends.
Open accessAbstract
Objective: Artificial intelligence (AI) has been increasingly applied in various fields of science and technology. In line with the current research, medicine involves an increasing number of artificial intelligence technologies. The introduction of rapid AI can lead to positive and negative effects. This is a multilateral analytical literature review aimed at identifying the main branches and trends in the use of using artificial intelligence in medical technologies. Methods: The total number of literature sources reviewed is n = 89, and they are analyzed based on the literature reporting evidence-based guideline PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) for a systematic review. Results: As a result, from the initially selected 198 references, 155 references were obtained from the databases and the remaining 43 sources were found on open internet as direct links to publications. Finally, 89 literature sources were evaluated after exclusion of unsuitable references based on the duplicated and generalized information without focusing on the users. Conclusions: This article is identifying the current state of artificial intelligence in medicine and prospects for future use. The findings of this review will be useful for healthcare and AI professionals for improving the circulation and use of medical AI from design to implementation stage.
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Other regulated AI medical technologies, such as radiology image analysis or diagnosis, are trained on domain-specific medical data for targeted uses.
“While other regulated AI medical technologies, such as radiology image analysis177 or diagnosis,178 are trained on domain-specific medical data for targeted uses, LLMs have broader complexity, applicability, and an ability to adapt in real time, which complicates their regulation.2,179,180”
From Large Language Models for Chatbot Health Advice Studies: A Systematic Review (2025) · cites this paper as [177]
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Large Language Models for Chatbot Health Advice Studies: A Systematic Review
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- Authors
- Bitkina, O. V., Park, J., & Kim, H. K.
- Affiliations
- Incheon National University (KR)
- Kwangwoon University (KR)
- Corresponding author
- Park, Jaehyun
- Venue
- Digital Health
- Publisher
- SAGE Publications
- Published
- 2023-01
- Volume
- 9
- Pages
- 20552076231189331-20552076231189331
- ISSN
- 2055-2076 (ISSN-L)
- PMC
- PMC10359663
- OpenAlex
- W4384912864
- Cited by
- 66
- References
- 86
- Citations by year
- 2026: 10 · 2025: 26 · 2024: 30
- FWCI
- 0.77
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Digital Health (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation of Korea
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- artificial intelligence in healthcare, medical technology, clinical implementation of AI
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