Applications of Generative Artificial Intelligence for Strabismus Surgery Video-Based Education

Area of Science:

• Ophthalmology
• Artificial Intelligence
• Medical Education

Background:

• Strabismus surgery requires clear patient education to manage expectations and reduce anxiety.
• Traditional patient education methods may not always be engaging or accessible.
• AI offers novel tools for creating dynamic and personalized educational content.

Purpose of the Study:

• To develop AI-generated educational videos for patients undergoing strabismus surgery.
• To evaluate patient perceptions of the educational value and authenticity of these AI-created videos.

Main Methods:

• AI software (Claude Sonnet, Sora, Visla, Tavus) was used to generate educational scripts, surgeon avatars, and video clips.
• Adult strabismus surgery patients received AI-generated videos post-consent.
• Pre- and postoperative surveys assessed patients' ability to discern AI generation and the video's educational impact.

Main Results:

• Patients reported improved understanding of strabismus and surgery, with reduced concerns (mean Likert scores >4.0).
• The majority of patients did not identify the videos as AI-generated and expressed willingness to watch more AI content.
• Postoperative feedback confirmed the persistent educational and reassuring nature of the videos.

Conclusions:

• AI-generated videos can effectively enhance patient education for strabismus surgery, providing significant educational value.
• Patients perceived AI-generated content positively, indicating acceptance and potential for broader application in medical education.
• Further research with larger cohorts and validated endpoints is recommended to explore AI's clinical impact on patient care.