To evaluate the effectiveness of AI-assisted feedback in surgical training compared to traditional expert instruction.
Key Findings:
Students receiving AI-augmented personalized expert instruction showed greater improvement in surgical performance than those in the AI-only group.
The benefits of personalized expert feedback were most pronounced in later practice sessions and during complex tasks.
Expert instruction alone outperformed AI tutoring on some measures, indicating the value of human instructors.
Interpretation:
AI serves as a valuable adjunct to human instruction in surgical training, enhancing the effectiveness of expert feedback when personalized with AI data.
Limitations:
The study focused on a specific surgical task (brain tumor resections) and may not generalize to other surgical procedures.
Emotional responses and cognitive load were higher in the personalized expert group, indicating potential stress during demanding tasks.
Conclusion:
Future surgical training should integrate AI tools into instructor-led education rather than replace human instructors, as they are essential for interpreting and personalizing feedback.
