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Artificial Intelligence developments in medical education: a conceptual and practical framework
1Sultan Qaboos University.
Artificial Intelligence (AI) offers significant benefits for medical education. This paper provides a framework to help educators understand and guide AI integration in medical training.
Area of Science:
- Medical Education
- Artificial Intelligence
Background:
- Growing awareness of Artificial Intelligence (AI) applications in medicine.
- Medical education administrators and educators need better understanding of AI's potential.
- Current lack of familiarity hinders effective AI integration and future project guidance.
Purpose of the Study:
- To provide a conceptual and practical framework for AI in medical education.
- To enhance understanding of AI's current landscape and applications.
- To empower educators to guide future AI developments.
Main Methods:
- Conceptual framework development.
- Practical application guidance.
- Literature review on AI in education.
Main Results:
- A framework is presented to clarify AI's role in medical education.
- Educators will gain a clearer understanding of AI's current status.
- Guidance is offered for influencing future AI projects.
Conclusions:
- AI presents opportunities for medical education advancement.
- A structured framework is essential for effective AI adoption.
- Educators are crucial in shaping AI's future in medical training.
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