Teaching Artificial Intelligence to Medical Students

Area of Science:

• Medical Education
• Artificial Intelligence
• Health Informatics

Background:

• Modernizing medical education requires integrating emerging technologies.
• Artificial Intelligence in Medicine (AIM) is rapidly advancing, necessitating updated curricula.
• UVVG seeks to enhance its educational offerings with cutting-edge medical technology training.

Purpose of the Study:

• To outline the strategic implementation of an Artificial Intelligence in Medicine (AIM) course at UVVG.
• To address the challenges associated with integrating AIM into the medical curriculum.
• To develop a foundational syllabus for medical students in the rapidly evolving field of AIM.

Main Methods:

• Analysis of curricular integration strategies for new technological courses.
• Examination of didactic program positioning for specialized subjects.
• Syllabus design focusing on fundamental AIM concepts for medical students.

Main Results:

• The necessity and opportunity for an AIM course are established within the current medical landscape.
• The practical steps for introducing the AIM course into the university curriculum are detailed.
• A framework for syllabus creation is proposed, emphasizing core knowledge for future learning.

Conclusions:

• Integrating Artificial Intelligence in Medicine (AIM) is crucial for modern medical education.
• A structured approach to curriculum development is essential for successful implementation.
• The proposed syllabus provides a basis for medical students to understand and adapt to future AIM advancements.