MedSimAI

About Our Research

MedSimAI is a research project investigating the potential of artificial intelligence in medical education. Our team is studying how AI-powered simulations may impact the learning experience and outcomes for medical students.

Research Objectives

Assess the efficacy of AI-powered simulations in medical education
Examine the effects of AI-powered standardized patient interactions on clinical skills development
Analyze potential correlations between AI-assisted training and clinical performance
Explore AI algorithms for virtual patient interactions

Methodology

Our research utilizes a mixed-methods approach, combining quantitative data from the MedSimAI platform with qualitative feedback. We collect:

Usage data from the AI learning tool
Survey responses from participants
Standardized OSCE exam scores
Interview responses from volunteer participants

Participation and Ethics

This study is open to first-year medical students at Cornell Weill Medicine, Yale Medical School, and UCSF. Participation is voluntary. The study has been approved by the Institutional Review Board to ensure adherence to ethical standards.

Research Goals

This research aims to:

Inform improvements in medical education curricula
Study the impact on student preparedness for clinical practice
Contribute to the field of AI in healthcare education
Explore integration methods for AI tools in medical training

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