Artificial intelligence (AI) in medicine can potentially create workplace efficiencies and aid in clinical decision making. To guide AI applications safely, clinicians need some understanding of AI. Numerous commentaries advocate for AI concepts to be taught, such as interpreting AI models and validation processes. However, few structured programs have been implemented, especially on national scales. Pinto Dos Santos et al. surveyed 263 medical students and 71% agreed they needed AI training. Teaching AI to medical audiences requires nuanced design to balance technical and non-technical concepts for learners who typically have a broad range of prior knowledge. We describe our experiences delivering an AI workshop series to three cohorts of medical students and make recommendations for future AI medical education based on this.
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