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Use of Artificial Intelligence in Medical Research: A SWOT Analysis
Kathmandu University Medical Journal (KUMJ)
|June 3, 2025
Summary
Artificial intelligence (AI) accelerates medical research in diagnostics and data analysis but raises concerns about bias and ethics. Collaboration and ethical frameworks are crucial for responsible AI integration in science.
Area of Science:
- Medical research
- Artificial intelligence applications
Background:
- Artificial intelligence (AI) tools are increasingly integrated into professional workflows.
- Concerns are growing regarding the use and implications of AI in research and publication.
Purpose of the Study:
- To conduct a SWOT analysis of AI applications in medical research.
- To evaluate AI's implications for researchers, journals, and the scientific community.
- To address risks and harness the potential of AI in scientific endeavors.
Main Methods:
- Qualitative review of online resources, articles, blogs, interviews, and podcasts.
- SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis of AI in medical research.
Main Results:
- Strengths: Accelerated research (diagnostics, drug production, data analysis).
- Weaknesses: Interpretability, bias, ethical concerns.
- Opportunities: Explainable AI, inclusive data, model validation.
- Threats: Bias, privacy, overreliance, exploitation.
Conclusions:
- AI presents significant potential but requires careful management of data quality, bias, and transparency.
- Collaborative efforts are needed to establish ethical frameworks, regulations, and sustainable practices.
- A balanced approach positioning AI as a human collaborator is recommended.
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