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Artificial Intelligence in Surgical Education: A 2025 Update on Adaptive Training, Feedback, and Competency-Based
Niruktha Raghavan1, Prem C Patel1, David Limon1
1Department of Surgery, University of Texas Health Science Center, San Antonio, TX, USA.
The American Surgeon
|November 11, 2025
Summary
Artificial intelligence (AI) offers innovative solutions for surgical education, enhancing technical skills and providing personalized feedback. AI-driven tools can streamline training and evaluation, complementing traditional methods for improved outcomes.
Area of Science:
- Medical Education Technology
- Surgical Training Innovations
- Artificial Intelligence in Healthcare
Background:
- Traditional surgical apprenticeship models face challenges due to work-hour restrictions and administrative burdens.
- There is an increasing need for innovative solutions to supplement faculty-led surgical training.
- Limited operative exposure necessitates advanced methods for skill acquisition and assessment.
Purpose of the Study:
- To explore the role of artificial intelligence (AI) as a supplementary tool in surgical education.
- To identify current and potential applications of AI in enhancing technical skill acquisition and feedback.
- To discuss the challenges and future promise of AI in transforming surgical training.
Main Methods:
- Review of current AI applications in surgical education, including simulation, feedback systems, and natural language processing.
- Analysis of AI's potential to support individualized learning, competency-based assessment, and data-driven feedback.
- Discussion of challenges such as bias mitigation, data governance, and validation of AI tools.
Main Results:
- AI offers scalable platforms for technical skill acquisition, personalized feedback, and progress tracking in surgical education.
- AI applications include guided simulation, NLP for resident evaluation, and applicant screening to streamline holistic review.
- Hybrid models where AI augments mentorship show significant promise for optimizing faculty time and teaching effectiveness.
Conclusions:
- Artificial intelligence presents a significant opportunity to enhance surgical education by providing scalable, data-driven tools.
- Addressing challenges like bias and ethical data governance is crucial for successful AI implementation.
- AI has the potential to meaningfully transform surgical education globally by augmenting, not replacing, human mentorship.
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