Evaluation of the Effectiveness of MED·SMART-AI in Undergraduate Clinical Anesthesia Teaching

This study aimed to assess the impact of MED·SMART-AI on undergraduate clinical anesthesia internship teaching. Sixty undergraduate interns at Jiangyin Hospital Affiliated to Nantong University were divided into two groups. One group (n=30, February-April 2024) received traditional instruction, while the other (n=30, May-July 2024) was taught using the MED·SMART-AI method. The evaluation included theoretical knowledge, practical skills, case analysis performance, student learning initiative, and self-evaluation components, such as learning ability, communication skills, and self-confidence. Interns utilizing MED·SMART-AI demonstrated significantly higher scores in theoretical examinations, skills assessments, and case analysis compared to those receiving traditional instruction. Furthermore, the MED·SMART-AI group exhibited notable improvements in learning initiative (information, self-management, and learning cooperation abilities), alongside enhanced self-evaluations of learning ability, doctor-patient communication, literature retrieval, scientific research innovation, and self-confidence. These findings indicate that integrating MED·SMART-AI into undergraduate clinical anesthesia education effectively improves academic outcomes and fosters a more proactive and self-assured learning approach.