ArticleCureus2025
Medical Education Learning Specialists in the Age of Artificial Intelligence.
Article in Cureus, 2025. 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Generative Artificial Intelligence (AI) is transforming healthcare education by offering innovative solutions to enhance students' learning and skill development. Medical education learning specialists often seek effective strategies to support students in mastering content and improving study habits. This study aimed to investigate learning specialists' perspectives on the impact of AI on their roles and interactions with healthcare education students. Methods The researchers conducted a national online survey with the Medical Education Learning Specialists (MELS) Special Interest Group, a community of professionals providing academic support to medical and health professions students. Sixty-one learning specialists from 29 states of the United States participated in the survey. Results Key findings reveal that, despite advances in generative AI, learning specialists agree that their roles in supporting students will remain valuable and irreplaceable. However, they emphasized the need for targeted training to effectively integrate AI into academic support services. Other findings suggest that medical education learning specialists see the significant promise of AI in improving personalization in medical education and student learning experiences. Conclusion As healthcare education evolves, the role of generative AI in enhancing personalized learning and efficient study strategies to address the unique needs of students will continue to grow. AI tools can equip learning specialists with the assistance needed to provide targeted support to students.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.