ArticleBMC medical education2026
How crucial is research philosophy in designing an AI study in medical education?
Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
Research papers are often rejected due to methodological problems, inappropriate tools, and poor alignment between aims, methods, and conclusions. This editorial argues that these problems often stem from neglecting research philosophy when pursuing an idea. Based on the literature and our peer-reviewed experience in medical education and biochemical sciences, we emphasize that clarifying ontological, epistemological, methodological, and axiological assumptions helps select the appropriate paradigm-positivism, post-positivism, interpretivism, critical theory, or pragmatism. To avoid such methodological problems, researchers should clarify their philosophical assumptions, explicitly state the selected paradigm, and ensure that this process is outlined in the methods section or the appendix. This approach increases the rationality, transparency, reproducibility, and defensibility of research, especially in fields like artificial intelligence in healthcare education.
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Registered trials
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