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Artificial Intelligence and Plastic Surgery Resident Education.

Edward A Luce¹

¹From the Division of Plastic Surgery U, South Carolina School of Medicine, Columbia, South Carolina.

Plastic and Reconstructive Surgery. Global Open

|July 18, 2025

Summary

This summary is machine-generated.

Plastic surgery resident education needs a shift from passive to interactive learning. Artificial intelligence offers a promising solution for this educational transformation, though potential risks require consideration.

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Area of Science:

Medical Education
Surgical Training
Artificial Intelligence in Medicine

Background:

Current plastic surgery residency programs often rely on passive learning methods.
There is a recognized need for more interactive and structured educational formats.
Traditional educational models may not fully prepare residents for complex surgical practice.

Purpose of the Study:

To highlight the necessity of transforming plastic surgery resident education.
To explore the potential of artificial intelligence (AI) in this educational reform.
To acknowledge the challenges and risks associated with AI implementation.

Main Methods:

Review of current plastic surgery educational paradigms.
Analysis of AI technologies applicable to medical training.
Discussion of potential benefits and drawbacks of AI integration.

Main Results:

Artificial intelligence presents a significant opportunity to create interactive and structured learning environments.
AI can facilitate personalized feedback and adaptive learning pathways for residents.
Potential concerns include data privacy, algorithmic bias, and the need for faculty training.

Conclusions:

A transition to interactive, AI-enhanced education is crucial for plastic surgery residency.
AI offers a powerful tool to improve surgical training outcomes and resident preparedness.
Careful consideration of ethical and practical challenges is essential for successful AI adoption.