Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study.

Area of Science:

• Medical Education
• Digital Health
• Artificial Intelligence in Medicine

Background:

• Artificial intelligence (AI) is increasingly integrated into clinical practice, necessitating AI literacy among healthcare professionals.
• Existing medical curricula offer limited training in AI technologies and their application.
• Physicians and students require skills to effectively use and evaluate AI tools.

Purpose of the Study:

• Introduce a novel blended learning curriculum with an AI module for medical students.
• Evaluate student knowledge, attitudes, and perceptions of AI and the course.
• Assess the feasibility and impact of AI-focused medical education.

Main Methods:

• A 5-day elective course, "Medicine in the Digital Age," included a dedicated AI module.
• Qualitative, semistructured group interviews were conducted post-course.
• Student statements on AI perception and course evaluation were analyzed using content analysis.

Main Results:

• Students demonstrated a nuanced understanding of AI applications and future work implications.
• The AI module was highly accepted, showing significant learning benefits.
• All participants would recommend the elective course to their peers.

Conclusions:

• The AI module effectively builds AI competences and critical perspectives in medical students.
• The blended learning curriculum is feasible, beneficial, and well-received.
• This curriculum can serve as a model for other institutions amid the rise of medical AI.