Artificial Intelligence: Crossing a Threshold in Healthcare Education and Simulation
Artificial intelligence (AI) is transformative, irreversible, and integrative, properties that align with the threshold concept in education, fundamentally reshaping how healthcare professionals learn, make decisions, and practice. Despite its vast potential, AI’s role in healthcare education remains underexplored, and traditional publishing struggles to keep pace with rapid advancements. The challenge is to bridge disciplines, fostering collaboration between healthcare professionals, AI researchers, data scientists, and healthcare educators to accelerate research dissemination while maintaining academic rigor. Understanding AI as a threshold concept is essential; once grasped, it permanently transforms perspectives on healthcare education and cannot be unlearned. We invite researchers and educators to join this movement to shape the future of AI-driven healthcare education, embracing this shift together as we cross the threshold.
Authors
- Maria Bajwa (ORCID: https://orcid.org/0000-0003-0962-5974)
- Alex Morton
- Janice C. Palaganas (ORCID: https://orcid.org/0000-0002-2507-8643)
- Isabel T. Gross (ORCID: https://orcid.org/0000-0003-4410-6758)
- Amar P Patel
Publication Details
- Journal
- Cureus Journal of Computer Science.
- Published
- 2025-04-29
- DOI
- https://doi.org/10.7759/s44389-025-03758-3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00