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Quality matters: Artificial intelligence-based assessment of feedback quality predicts technical skill improvement
Divya Kewalramani1, Diego Sanhueza Roman2, Sofía Abedrapo Lagos3
1Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.
Surgery
|August 29, 2025
Summary
High-quality feedback, assessed by artificial intelligence (AI), significantly improves surgical technical skills during simulated procedures. AI tools like Teach1 can standardize feedback, enhancing skill development and potentially patient outcomes.
Area of Science:
- Medical Education
- Surgical Training
- Artificial Intelligence in Healthcare
Background:
- Delivering consistent, high-quality feedback is crucial but challenging in surgical education.
- This study investigated the correlation between feedback quality, assessed by AI, and technical skill acquisition in simulated paracentesis.
Purpose of the Study:
- To determine if artificial intelligence (AI)-assessed feedback quality correlates with technical skill improvement in simulated paracentesis training.
- To evaluate the efficacy of an AI tool (Teach1) in assessing feedback quality based on established criteria.
Main Methods:
- Fourth-year medical students (n=75) performed simulated paracentesis, received digital feedback, and repeated the procedure.
- An AI tool (Teach1) evaluated 688 feedback comments on 5 quality criteria.
- Changes in Objective Structured Assessment of Technical Skills (ΔOSATS) scores were analyzed against feedback quality percentages.
Main Results:
- Objective Structured Assessment of Technical Skills (OSATS) scores improved significantly post-feedback (15.76 to 21.68).
- Higher feedback quality percentages positively correlated with greater performance improvement (ΔOSATS) (r=0.309, P<.001).
- AI feedback quality assessment showed substantial agreement with expert evaluations (κ=0.78).
Conclusions:
- AI-driven assessment of feedback quality is significantly correlated with technical skill improvement in simulated surgical training.
- The AI tool Teach1 offers a scalable method to standardize feedback quality, a key driver of skill development.
- Improving feedback quality through AI has the potential to enhance surgical training and patient outcomes.
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