Surgeon-Created Digital Twin: AI-Generated Video Avatars for Plastic Surgery Education

Area of Science:

• Medical Education
• Artificial Intelligence
• Plastic and Reconstructive Surgery

Background:

• Artificial intelligence (AI) is increasingly utilized to enhance medical education.
• AI-generated videos (AIVs), including deepfakes, can create realistic audiovisual content.
• Concerns about authenticity exist, but AIVs offer efficient information dissemination.

Purpose of the Study:

• To demonstrate the efficacy of AI-simulated videos for delivering educational content in plastic and reconstructive surgery (PRS).
• To explore the potential of AIV technology for patient education, virtual consultations, and content creation in PRS.
• To address the evolving landscape of information sharing and marketing within PRS while upholding professional standards.

Main Methods:

• Development of AI-simulated videos using machine learning to generate realistic footage.
• Training an AI model with a board-certified PRS surgeon's data to create a surgeon avatar.
• Utilizing the AI avatar to deliver educational content within the PRS domain.

Main Results:

• Successful demonstration of AI-simulated videos delivering educational content.
• Validation of AIV technology as a viable tool for PRS education and patient engagement.
• Exploration of the potential for virtual consultations and content creation using AI avatars.

Conclusions:

• AI-generated videos present a novel and effective approach to plastic and reconstructive surgery education.
• This technology has significant implications for patient education, virtual consultations, and content creation in PRS.
• The study highlights a method for advancing information sharing in PRS while emphasizing ethical considerations.