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Twelve Practical Tips for Integrating AI Into Medical Education: Tutorial to Support Educators Across Teaching,
Alireza Jalali1, Kadidja Harbi1, Salomon Fotsing1
1Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
JMIR Medical Education
|November 26, 2025
Summary
This study offers 12 practical tips for integrating artificial intelligence (AI) into medical education. These evidence-informed strategies enhance teaching, research, administration, and ethics, preparing future clinicians for technology-driven healthcare.
Area of Science:
- Medical Education Technology
- Artificial Intelligence in Healthcare
- Digital Learning Environments
Background:
- Artificial intelligence (AI) is transforming medical education.
- Opportunities exist for personalized learning, research enhancement, and administrative streamlining.
- Effective integration requires practical, evidence-based guidance.
Purpose of the Study:
- To provide 12 practical, evidence-informed tips for integrating AI into medical education.
- To guide educators in teaching, research, administration, and ethical AI application.
- To support the adoption of AI tools for improved educational outcomes.
Main Methods:
- Literature review of current AI applications in education.
- Analysis of real-world examples of AI integration.
- Synthesis of strategies for educators across key domains.
Main Results:
- AI can personalize learning via adaptive platforms and tailored content.
- AI tools offer timely feedback and AI-generated clinical scenarios.
- AI enhances research efficiency (literature reviews, data analysis) and manuscript preparation.
- Administrative tasks can be automated, aiding strategic planning and faculty development.
- Ethical AI use requires focus on transparency, fairness, and accountability.
Conclusions:
- Implementing the 12 tips empowers medical educators to leverage AI.
- AI integration improves educational outcomes and efficiency.
- Medical education must adapt to prepare clinicians for AI-driven healthcare environments.
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