- Author:
Jun Suh LEE
1
Author Information
- Publication Type:Focused issue of this month
- From:Journal of the Korean Medical Association 2026;69(2):102-110
- CountryRepublic of Korea
- Language:Korean
- Abstract: With a focus on novice researchers, it aims to clarify how artificial intelligence (AI) can support research design and may lower barriers to research participation while emphasizing the continuing importance of human judgment in study conception and interpretation.Current concepts: Traditional medical research training has emphasized methodological theory, statistical techniques, and mentor–mentee instruction. However, these approaches often present substantial challenges for novice researchers. Time constraints, limited access to data, and the need to learn unfamiliar methodologies further contribute to these difficulties. Recent advances in AI enable the rapid synthesis of large volumes of information and structured exploration of research questions. AI also facilitates the organization of study frameworks. These tools may help structure research designs that are less dependent on patient-level data. Examples include social media studies, narrative reviews, and qualitative analyses.Discussion and conclusion: AI has the potential to reshape research design education by functioning as a cognitive support tool. It can help novice researchers formulate meaningful questions, select appropriate study designs, and interpret findings. However, responsible use requires explicit attention to explainability, methodological rigor, and ethical standards. Significant limitations include AI’s dependence on available data, its inability to independently verify information, and the risk of generating misleading suggestions when prompts are poorly constructed. Clear guidance regarding the appropriate scope and limitations of AI-assisted research design is essential. When used appropriately, AI may broaden participation in medical research, enhance research literacy, and support the development of sustainable research skills among clinicians and medical trainees.

