IJMS’s Stance on Ethical Artificial Intelligence Usage for Medical Student Education and Research, and Highlights of IJMS in 2025

Authors

  • Richard Christian Suteja MD, Faculty of Medicine, Udayana University, Bali, Indonesia. https://orcid.org/0000-0001-7649-0913
  • Eleanor Roy 4th Year MD Student, The University of Nicosia, Cyprus. https://orcid.org/0009-0009-3032-2848
  • Irene Faith Jemima Christopher 4th year medical student, Nicolae testemitanu state university of medicine and pharmacy, Chisinau, republic of Moldova.
  • Tanishqa Sheth MBBS, MPH(c), Columbia University Mailman School of Public Health, New York, USA. https://orcid.org/0009-0008-3911-8045
  • Francisco J. Bonilla-Escobar MD, MSc, PhD, Department of Ophtalmology; University of Colorado, Anschutz, CO, USA, USA. Fundación Somos Ciencia al Servicio de la Comunidad, Fundación SCISCO/Science to Serve the Community Foundation, SCISCO Foundation, Cali Colombia. Grupo de investigación en Visión y Salud Ocular, VISOC, Universidad del Valle, Cali, Colombia. Editor in Chief, IJMS. https://orcid.org/0000-0002-0224-3482

DOI:

https://doi.org/10.5195/ijms.2025.4299

Keywords:

Artificial intelligence, Large language models, Clinical reasoning, Academic integrity, Scientific writing, Research training, Ethical concerns, Medical student perceptions, AI hallucination, Stochastic parroting

Abstract

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References

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This organizational chart outlines the framework for AI in Medical Student Research, specifically addressing the applications, risks, and guidelines associated with its integration. The structure branches from core Medical Student Training, emphasizing the development of clinical reasoning and professional judgement. This foundation then supports two primary pathways for technology integration: Educational AI Use, for enhancing learning and academic performance, and Research AI Use, which focuses on the ethical and methodological application of artificial intelligence in scientific investigation.

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Published

2025-12-19

How to Cite

Suteja, R. C., Roy, E., Jemima Christopher , I. F., Sheth, T., & Bonilla-Escobar, F. J. (2025). IJMS’s Stance on Ethical Artificial Intelligence Usage for Medical Student Education and Research, and Highlights of IJMS in 2025. International Journal of Medical Students, 13(4), 362–368. https://doi.org/10.5195/ijms.2025.4299

Issue

Vol. 13 No. 4 (2025)

Section

Editorial

License

Copyright (c) 2025 Francisco Javier Bonilla-Escobar

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