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Narrative review of AI and simulation in medical education for student-centered learningNew digital tools help medical students learn better than traditional classrooms

AI-generated summary of the cited source, checked by automated accuracy review. How we work

Key Takeaway
Consider the potential of AI and simulation in medical education, but note significant infrastructure and training gaps.

This is a narrative review that synthesizes literature on integrating artificial intelligence, simulation-based education, hybrid and virtual classrooms, immersive technologies, gamification, student-centered learning strategies, open educational resources, and digital platforms into medical education. The review contrasts these approaches with traditional classrooms, such as lectures, textbooks, and laboratory demonstrations.

The authors argue that these digital and student-centered strategies may enhance active engagement, conceptual understanding, integration of physiological knowledge into clinical contexts, learning outcomes, and inclusivity and accessibility for medical students. However, the review does not report pooled effect sizes or specific quantitative outcomes, as it is a qualitative synthesis.

Key limitations noted include infrastructure limitations, faculty training gaps, institutional resistance, and ethical considerations surrounding the use of advanced technologies. The authors do not report a study population, sample size, or follow-up duration.

The practice relevance is framed as equipping medical students for complex clinical practice and lifelong learning. The evidence is early and incomplete, and the authors' conclusions should be interpreted with caution given the narrative nature of the review and the acknowledged gaps.

This narrative review looked at how different teaching methods affect medical students. It compared new approaches like artificial intelligence, simulation, virtual classrooms, and gamification against traditional lectures and textbooks. The study did not report specific numbers on learning scores but looked at several important areas. These included active engagement, how well students understood concepts, and their ability to connect physiology to clinical practice. The review also noted whether these methods helped create a more inclusive learning environment.

The authors found that these modern strategies generally supported better learning outcomes. They also highlighted that these tools can help students prepare for complex clinical work and lifelong learning. However, the review pointed out several challenges that schools face when trying to use these technologies. Issues included a lack of proper infrastructure, gaps in faculty training, and resistance from some institutions.

Readers should understand that this is a review of existing reports rather than a single large trial. The evidence is limited by these practical barriers and ethical questions about using advanced technology. While the findings are promising, they do not prove that digital tools work for every school. The main takeaway is that these methods offer potential benefits but require careful planning to succeed.

What this means for you:
Digital learning tools may improve medical student engagement and understanding, but schools face infrastructure and training challenges.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
Medical physiology is a foundational component of medical education, offering vital details about normal human function and a deep understanding of disease processes. Traditionally taught through lectures, textbooks, and laboratory demonstrations, physiology education has progressively evolved in response to advances in technology and changing learner needs. This review examines the historical development of physiology teaching and synthesizes contemporary innovations that are transforming the educational landscape. Emphasis is placed on simulation-based education, hybrid and virtual classrooms, immersive technologies such as virtual and augmented reality, gamification, and student-centered learning strategies, all of which promote active engagement, conceptual understanding, and integration of physiological knowledge into clinical contexts. The review also explores the emerging role of artificial intelligence in physiology education, including personalized learning pathways, adaptive assessments, and real-time physiological simulations, with relevance for resource-limited settings. Innovations in assessment, competency-based medical education, interdisciplinary integration, and clinically oriented physiology teaching are highlighted as key contributors to improved learning outcomes. Additionally, the review addresses inclusivity and accessibility through the use of open educational resources and digital platforms that reduce disparities in educational access. Despite these advances, several challenges remain, including infrastructure limitations, faculty training gaps, institutional resistance, and ethical considerations surrounding the use of advanced technologies. Furthermore, the review outlines future directions focused on holistic learning environments, deeper clinical integration, and a balanced adoption of technology alongside traditional teaching methods. Overall, this narrative review highlights the importance of adopting a learner-centered, adaptable, and inclusive approach to physiology education that equips medical students for complex clinical practice and lifelong learning.
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