At the end of this session, the participant will be able to:

• Understand the advantages of virtual, augmented, and mixed reality over traditional simulation.
• Recognize the limitations of immersive technologies when used to deliver medical simulation.
• Identify the physiological and emotional effects on participants during immersive and traditional simulation.

At the end of this session, the participant will be able to:

• Evaluate the benefits of integrating playful interaction methods into healthcare education for improving learner engagement.
• Analyze differences among concepts of reality, virtual reality, simulation, and serious gaming in healthcare education.
• Demonstrate an understanding of the key principles of gamification and nudging and their value in healthcare.

Discuss and summarize key learning points. 

At the end of this session, the participant will be able to:

• Evaluate the transformative potential and critical risks of AI in medicine, including breakthrough applications (AlphaFold, multiagent public health systems) alongside challenges of algorithmic hallucinations and data privacy vulnerabilities.
• Analyze insights from patient diagnosis narratives (autism, end-of-life care) to understand emotional care journeys and identify how AI tools can enhance rather than compromise the human elements of mdeical encounters while maintaining patient trust and safety.
• Develop evidence-based strategies for implementing AI in clinical practise that leverage emphaty research and mental health collabration insights to streghten patient-provider relationships while establishing appropriate safeguards against AI related risks.

TBC

TBC

Discuss and summarize key learning points. 

Outline key learning points from Day 1.

At the end of this session, the participant will be able to:

• Explain the concept and need of a “human in the loop”.
• Explore the impact of AI on foundational competencies in medical education.
• Identify strategies for integrating AI education to balance technology and humanism.

At the end of this session, the participant will be able to:

• Employ a narrative approach to reflecting on the opportunities and challenges of AI-assisted medical education research.
• Develop a personal philosophy for whether/how to use AI in medical education research.

At the end of this session, the participant will be able to:

• Demonstrate an understandingof how patient expectations provide an ethical guardrail to using AI in care.
• Identify how to learn from computers that outperform humans and the implied messages we send patients by using them.

Discuss and summarize key learning points.

At the end of this session, the participant will be able to:

• Demonstrate an understanding of the history of the concept of empathy as it relates to the emotional experiences of medical students. 
• Demonstrate an understanding of the relationship between the psychoanalytic concept of countertransference and the current views of emphatic communication.
• Recognize how AI generated patients and supervisors will be able to improve empathy training as well as the potential risks to be mitigated.

At the end of this session, the participant will be able to:

• Develop familiarity with using mixed reality for medical simulation.
• Understand how to acquire low cost mixed reality simulation software.
• Practice leading a mixed reality medical simulator.

At the end of this session, the participant will be able to:

• Apply design thinking methods to analyze and creatively solve challenges in healthcare using emerging technologies such as AR, VR, and AI.
• Evaluate inclusive design principles for creating accessible, human-centered virtual healthcare environments.
• Practise collaborative idiation and rapid prototyping techniques to address real world challenges in patient engagement, behavioral health, and workforce development. 

Summarize the key learning points.