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Related Experiment Videos

Artificial Intelligence-Driven Personalized Learning Improves Operating Room Instrument Training: A Prospective

Jing Cai1, Luping Li1, Jianshu Cai1

  • 1Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine.

Journal of Visualized Experiments : Jove
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

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Artificial intelligence (AI) personalized learning systems significantly improve surgical instrument training. This AI-driven approach enhances long-term skill retention and patient safety compared to traditional methods.

Area of Science:

  • Surgical Education
  • Artificial Intelligence in Medicine
  • Medical Simulation

Background:

  • Traditional operating room instrument training suffers from poor skill retention and contributes to surgical errors.
  • Current methods often lack personalization, leading to inefficiencies and suboptimal outcomes.

Purpose of the Study:

  • To evaluate an AI-powered personalized learning system (APLS) for improving operating room instrument training.
  • To assess the impact of APLS on technical competency, patient safety, and training efficiency.

Main Methods:

  • Developed an APLS integrating learner phenotyping, deep learning, competency prediction, and reinforcement learning for adaptive feedback.
  • Conducted a prospective observational study with 107 operating room staff comparing APLS to standard instructor-led training.

Related Experiment Videos

  • Measured 12-month instrument-handling competency retention using the perioperative instrument proficiency scale (PIPS).

    • Main Results:

    • APLS demonstrated substantially higher 12-month competency scores (84.1 vs. 58.9, p < 0.001) compared to traditional training.
    • The AI system reduced safety incidents, halved training time, and decreased overall training costs by 38.3%.
    • The AI ensemble outperformed individual machine learning components in performance prediction and feedback selection.

    Conclusions:

    • AI-powered personalized learning meaningfully enhances operating room instrument training.
    • This approach improves skill retention, patient safety, and training efficiency.
    • The APLS framework offers a scalable model for data-driven workforce development in perioperative care.