Simpatient AIAcademic Publications
Research and publications from the University of St Andrews exploring AI in medical education, clinical simulation, and innovative teaching methodologies.
Research Areas
Development and Innovation in a New Distributed Medical Programme
Research on distributed medical education programs and innovative teaching methodologies in medical training.
Enhancing Diagnostic Accuracy of Ophthalmological Conditions with AI
Investigation into using artificial intelligence to improve diagnostic accuracy in ophthalmological conditions and clinical decision-making.
Enhancing Undergraduate Clinical Communication Teaching and Learning
Study on improving clinical communication skills training for undergraduate medical students through innovative teaching methods.
Medical Students and Educators' Opinions of Teleconsultation in Practice
Research examining perspectives of medical students and educators on teleconsultation practices and their integration into medical education.
Quality Assurance and Validity of AI-Generated Single Best Answer Questions
Analysis of quality assurance measures and validity of AI-generated single best answer questions for medical examinations.
Solving Educational Capacity Challenges with an AI-Powered Patient Simulator
Research on addressing educational capacity limitations in medical training through AI-powered patient simulation technology.
Assessing the Quality of AI-Authored Exam Questions
Comprehensive assessment of AI-authored examination questions quality, validity, and effectiveness in medical education contexts.
Research-Backed Innovation
Our AI-powered medical training platform is built on cutting-edge research from the University of St Andrews, ensuring evidence-based learning experiences.