Twelve tips for developing and implementing AI curriculum for undergraduate medical education
Bibliographic Data
| ID | 15328909 |
|---|---|
| Authors | Do-Hwan Kim (0000-0003-4137-7130, Department of Medical Education, Korea University College of Medicine), Ye Ji Kang (0000-0003-1711-2394, Department of Medical Education, Inha University College of Medicine), Young‐Mee Lee (0000-0002-4685-9465, Department of Medical Education, Korea University College of Medicine & the National Academy of Medicine, corresponding author) |
| Year | 2025 |
| Volume | 30 |
| Issue | 1 |
| Pages | 2585637-2585637 |
| Publication date | 2025-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Medical Education Online (JOURNAL) |
| Journal identifiers | ISSN: 1087-2981 • E-ISSN: 1087-2981 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10872981.2025.2585637 |
| PMID | 41327942 |
| OpenAlex | W4416901767 |
| Language | EN |
| Citations received | 3 |
| References cited | 75 |
The rapid evolution of artificial intelligence (AI) and its growing role in clinical settings have made AI education a priority in undergraduate medical education. To support this, AI curricula must align with existing medical education frameworks while addressing AI's distinctive characteristics. This article outlines twelve actionable tips to guide the development and implementation of such curricula. These include defining the purpose and scope of AI education within the broader context of existing competency frameworks and digital health. The curriculum should be structured to allow for progressive deepening and integration of content, prioritizing key elements. Additionally, sustainable AI education depends on securing institutional resources, providing learners with authentic experiences, and ensuring continuous evaluation and improvement of the curriculum. Together, these approaches aim to help medical schools prepare students to practice effectively in a future where AI is a core component of medical practice
Clinical Practice · Component (thermodynamics · Context (archaeology · Core competency · Core Knowledge · Curriculum · Key (lock · Scope (computer science · Artificial Intelligence in Healthcare and Education · Clinical Reasoning and Diagnostic Skills · Simulation-Based Education in Healthcare
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| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |