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Internal Medicine Physicians' Reflections on AI Tools for Research Tasks in Turkey: A Qualitative Descriptive Study
Gizem Zorlu Görgülügil1, Murat Özdede2, Muhammet Özbilen3
1Department of Internal Medicine, Antalya Training and Research Hospital, Antalya, Turkey.
Advances in Medical Education and Practice
|July 28, 2026
Summary
Internal medicine physicians showed increased interest in using artificial intelligence (AI) tools for research after education. However, concerns about ethics and reliability persist, highlighting a need for structured AI training.
Area of Science:
- Medical Education
- Artificial Intelligence in Research
- Qualitative Research
Background:
- Explores internal medicine physicians' views on AI tools for research tasks.
- Focuses on perceptions after a brief educational intervention.
- Covers AI for literature searching, reference management, writing, and visualization.
Purpose of the Study:
- To assess physicians' perceptions of AI research tools post-education.
- To identify changes in attitudes and intentions towards AI adoption.
- To understand concerns and training needs related to AI in academic medicine.
Main Methods:
- Qualitative descriptive study design.
- Semi-structured interviews with internal medicine physicians.
- Thematic analysis of interview data following a specific educational session.
Main Results:
- Physicians had limited prior AI tool familiarity.
- Post-session, AI viewed as a conditionally supportive tool under human oversight.
- Increased intention to use AI tools, alongside persistent ethical and reliability concerns.
Conclusions:
- Brief AI education can prompt short-term reflections on AI in research workflows.
- Effectiveness of brief interventions requires further longitudinal evaluation.
- A need for practical training and ethical frameworks for AI in academic research was identified.
