Shaping the future of medical education: A cross-sectional study on ChatGPT attitude and usage among medical students in Sudan
The findings underscore the urgent need for targeted interventions, including curriculum reform to integrate AI literacy, enhanced digital infrastructure, and gender-equity initiatives. Addressing these systemic gaps will scale up AI adoption in medical education. This study provides actionable insights for educators and policymakers, emphasizing the urgency of bridging socio-economic and institutional inequities to foster equitable access to AI tools in medical training.
Authors
- Fatima Mohammed (ORCID: https://orcid.org/0000-0002-7775-4463)
- Hussein S. Mohamed (ORCID: https://orcid.org/0000-0001-8305-0561)
- Waad Mohamed Ibrahim Mohamed
- W. M. Ahmed (ORCID: https://orcid.org/0000-0002-1777-0963)
- Mohamed H. Elbadawi (ORCID: https://orcid.org/0000-0002-4222-9351)
- Ghada Farouk Mohammed (ORCID: https://orcid.org/0000-0003-3074-1347)
- Malaz M. Abdalmotalib
- Hajar Saad Salih
Institutions
- University of Khartoum (SD)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1371/journal.pone.0324698
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31