Generative Artificial Intelligence in Medical Training: Utilization Patterns Across Knowledge, Patient Care, Systems...

Area of Science:

• Medical Education
• Artificial Intelligence
• Digital Health

Background:

• Generative artificial intelligence (AI) adoption has surged across sectors since 2022, notably impacting medical education.
• Previous research on AI perceptions is available, but understanding of AI usage patterns among medical trainees remains limited.

Purpose of the Study:

• To investigate and identify the specific patterns of generative AI utilization among medical trainees.
• To assess the awareness of AI usage policies and the extent of responsible AI use efforts within this demographic.

Main Methods:

• A survey was conducted among medical trainees to gather data on their generative AI use.
• Data analysis focused on identifying usage variations across different training phases.

Main Results:

• Generative AI usage patterns differed significantly based on the trainees' phase of medical education.
• ChatGPT was identified as the most frequently used generative AI platform across all training levels.
• While awareness of institutional AI policies was generally low, most trainees reported making efforts towards responsible AI engagement.

Conclusions:

• Findings highlight the need to understand equitable access to AI tools and effective onboarding for AI use policies in medical training.
• The study underscores the importance of addressing AI integration in medical education to prepare future healthcare professionals.