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Related Experiment Video

Updated: Jul 2, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

Enhancing Knowledge Integration and Self-Directed Learning in Undergraduate Medical Education Through an AI-Based

Jie Xu1, Deng Li1, Danqi Lu2

  • 1Department of Orthopedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510120, People's Republic of China.

Advances in Medical Education and Practice
|May 18, 2026
PubMed
Summary

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An AI-powered learning platform significantly improved medical students' clinical skills and knowledge integration compared to traditional methods. The Sun Yat-sen Intelligent Education Platform enhanced Objective Structured Clinical Examination scores and student satisfaction.

Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Clinical Skills Training

Background:

  • Bridging the gap between preclinical and clinical knowledge is crucial for medical students.
  • Traditional teaching methods may not fully integrate foundational science with clinical application.
  • Innovative educational tools are needed to enhance learning outcomes.

Purpose of the Study:

  • To evaluate the efficacy of the Sun Yat-sen Intelligent Education Platform, an AI-powered multimodal system.
  • To assess the platform's ability to enhance knowledge integration and learning outcomes in undergraduate medical students.
  • To compare the AI platform's impact against standard medical education.

Main Methods:

  • A mixed-methods, prospective, randomized controlled trial involving 80 fourth-year medical students.
Keywords:
AI-based learning platforminterventional studymedical educationmultimodal resourcesundergraduation

Related Experiment Videos

Last Updated: Jul 2, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

  • Intervention group (n=40) used the AI platform with traditional teaching; control group (n=40) received standard instruction.
  • Outcomes measured via Objective Structured Clinical Examination (OSCE) and student satisfaction surveys.

    • Main Results:

    • The AI platform group achieved significantly higher OSCE composite scores (85.7 vs. 78.3, p < 0.001).
    • Superior performance in history taking, differential diagnosis, and treatment planning was noted in the intervention group.
    • Over 90% of students found the platform effective for knowledge integration, usability, and educational support.

    Conclusions:

    • The AI-based multimodal platform supports knowledge integration and self-directed learning in medical education.
    • The Sun Yat-sen Intelligent Education Platform shows promise in enhancing undergraduate medical training.
    • Further validation in multi-institutional settings is recommended.