ChatGPT as a Postoperative Tool Following Lower Lid Blepharoplasty

Area of Science:

• Ophthalmology
• Artificial Intelligence
• Medical Informatics

Background:

• Lower lid blepharoplasty is a common cosmetic procedure.
• Effective postoperative management is crucial for patient recovery and satisfaction.
• The integration of artificial intelligence (AI) in healthcare offers new avenues for patient support.

Purpose of the Study:

• To evaluate the accuracy and appropriateness of ChatGPT-4's responses to common postoperative concerns after lower lid blepharoplasty.
• To assess the readability, understandability, and actionability of AI-generated patient information.

Main Methods:

• A cross-sectional study design was used.
• ChatGPT-4 responses to 6 common postoperative issues were evaluated by 12 ophthalmic plastic surgeons.
• Responses were graded for clinical accuracy and management appropriateness.
• Readability (Flesch scores) and patient education material quality (PEMAT) were assessed.

Main Results:

• ChatGPT-4 responses received high average accuracy grades (4.50/5) and appropriate management recommendations (75-100%).
• Readability scores indicated a challenging reading level (grades 9.4-13.4).
• Understandability scores were high (91.67%), but actionability scores were moderate (60%).

Conclusions:

• ChatGPT-4 demonstrates potential as a supportive tool in lower lid blepharoplasty postoperative care.
• AI-generated content requires further refinement for clinical reliability and patient actionability.
• Physician oversight is essential for developing safe and effective medical AI tools.