25 papers
This category explores how we train the next generation of healthcare professionals and improve the teaching methods used in medical schools. From new strategies for clinical skills to the integration of technology in classrooms, these studies examine what actually helps future doctors and nurses learn effectively. Because medical education evolves rapidly, staying current with fresh research is vital for educators and administrators alike.
Every new preprint in this collection is sourced directly from medRxiv. At Gist.Science, we process each incoming study to provide both a plain-language overview for general readers and a detailed technical summary for experts. This dual approach ensures that critical insights into pedagogy and curriculum design are accessible to everyone, regardless of their background.
Below are the latest papers in medical education, featuring the most recent findings on how we teach and learn in the health sciences.
The VICTORY study employs a mixed-methods approach to design, implement, and evaluate a virtual exchange program aimed at enhancing global health and primary care education by fostering collaboration and capacity building between European and Sub-Saharan African medical institutions.
This multi-national qualitative study identifies key barriers and facilitators to hosting displaced medical students in crisis contexts and proposes three novel constructs to advance the Consolidated Framework for Implementation Research (CFIR) into an equity-driven model for rapid humanitarian response.
This cross-sectional analysis of the 2025 US residency match reveals that a medical school's position within the residency network hierarchy strongly predicts its graduates' outcomes, with students from highly connected institutions securing more competitive placements and lower debt while entering primary care less frequently than those from lower-ranked schools.
A volunteer-organized research and mentorship symposium emphasizing formative feedback successfully enhanced research knowledge, interest, and motivation among African medical trainees who previously faced significant institutional resource limitations.
The paper introduces Infoxmed2.0-27B, a medical foundation model derived from Qwen3.5-27B that achieves superior performance on medical benchmarks through a rigorous multi-stage post-training pipeline involving proprietary data synthesis, LoRA-based instruction tuning, DPO preference alignment, and GRPO-based reward model training.
This pilot study found that while interprofessional healthcare students generally perceived an AI-enhanced ethics learning platform as useful for providing immediate feedback and diverse scenarios, they viewed it as a complementary tool rather than a replacement for traditional instruction, citing usability concerns and a small sample size as limitations.
This 2023 cross-sectional study of 83 medical interns at Hormozgan University of Medical Sciences reveals that while 60.2% are willing to pursue specialty training—driven by economic and social factors and favoring fields like radiology and dermatology—educational fatigue and financial constraints deter the remainder, with no specific demographic or academic variables independently predicting their willingness to continue.
This methodological case study introduces a framework and open-source tool for Ranked (In)direct Citation Searching (RICS) to systematically compare it with Unranked Direct Citation Searching (UDCS) in systematic reviews, demonstrating that RICS offers comparable or improved precision while identifying additional relevant literature.
This study validates a novel, architecture-driven AI standardized patient system as a scalable and effective alternative to human actors for clinical communication training, demonstrating that pedagogical design outweighs model selection in driving learner performance and offering unique self-efficacy benefits.
This study of the NIA-funded MADURA program reveals that while underrepresented undergraduate trainees report high overall satisfaction with their aging and Alzheimer's disease research mentorship, the specific mentor competencies driving that satisfaction differ significantly between faculty PIs and near-peer mentors, suggesting a need for role-specific expectations and a combined mentoring approach.