AI-Powered Clinical Skills Training for Medical Education
A research-backed platform enabling medical students to practice patient interactions with AI-simulated standardized patients, developed in collaboration with leading medical institutions.
In Collaboration With Leading Medical Institutions
UCSF School of Medicine
Weill Cornell Medicine
Yale School of Medicine
The Ohio State University
University of Virginia School of Medicine
University of Michigan School of Dentistry
Platform Impact
Data from ongoing research and deployment across partner institutions
Evidence-Based Clinical Skills Development
MedSimAI is developed through rigorous research in collaboration with medical educators and clinical skills experts. Our platform uses validated assessment frameworks and institution-tested blueprints to ensure educational quality.
- Validated clinical scenario blueprints
- Evidence-based feedback mechanisms
- Integration with established curricula
- Ongoing evaluation and improvement
How MedSimAI builds competency
Research
Expert-defined frameworks
Validation
Institution-reviewed
Blueprint
Structured scenarios
Clinical skill
Practice and assessment
Who We Support
Medical schools
PA programs
Residency programs
Dentistry schools
DPT programs
Veterinary programs
Learner Impact
Learner-reported outcomes at Weill Cornell Medicine
93%
agreed the AI-Preceptor’s questions helped them articulate their clinical reasoning.
86%
said the discussion helped them identify gaps, assumptions, or alternative diagnostic approaches.
82%
wanted more opportunities for similar case-based reasoning practice.
What students say
“It really helped me prepare for the OSCE and greatly improved my confidence going into the actual OSCE.”
“The voice recognition part made the practice much more realistic, forcing me to think on my feet…”
Platform Capabilities
Comprehensive features designed to support clinical competency development
Practice medical history-taking with AI patients responding to your questions, built on validated clinical scenarios.
Explore real clinical cases
A growing library of AI-simulated patients across specialties and care settings.
Educational Applications
Supporting diverse educational needs across the medical curriculum
Curriculum Integration
Deploy evidence-based simulations within your curriculum using validated blueprints tested at partner institutions. Customize assessment criteria to align with your educational objectives and track student competency development.
- Build cases from institution-tested clinical blueprints
- Customize feedback frameworks (history-taking checklists, MIRS)
- Provide clinical reasoning guidance tailored to curriculum
- Access detailed analytics on student competency development
- Support formative and summative assessment needs
Choose learning objectives
- 01
Fully author
Custom case and rubric
- 02
Search case library
Validated case and rubric
- 03
Customize library
Vetted case, custom rubric
Curriculum-aligned case
Grounded in institution-tested blueprints
Custom feedback and reasoning guidance
Tracked through competency analytics
Research Collaboration
Interested in research partnerships? Contact our team to discuss collaborative opportunities and institutional deployment.
Research & News
Publications, media coverage, and ongoing research developments
Medical Students Use AI to Practice Communication Skills
Medical students at Weill Cornell Medicine are enhancing their patient interaction skills through innovative AI simulations that provide realistic practice scenarios. The research platform, developed in collaboration with faculty, offers structured feedback on clinical communication abilities.
Read Full ArticleInterested in MedSimAI?
Whether you're a medical educator looking to enhance your curriculum or a student seeking additional practice opportunities, we'd like to hear from you.