Rothwell Classification of AI and Internet Search Results in Blepharoplasty Related Queries.

Area of Science:

• Ophthalmology
• Medical Informatics
• Digital Health

Background:

• Patients increasingly use online search engines and AI for blepharoplasty information.
• The accuracy and reliability of online medical information, including AI-generated content, are often uncertain.

Purpose of the Study:

• To evaluate the quality and reliability of online blepharoplasty information.
• To compare the quality of AI-generated responses versus traditional search engine results (People Also Ask questions).

Main Methods:

• Ten blepharoplasty search terms were used in a standardized Google search.
• AI responses and top 50
• People Also Ask
• questions were collected and analyzed.
• Information quality was assessed using the JAMA benchmark for medical websites.

Main Results:

• Most online questions were fact-based, focusing on technical details and cost.
• Webpages from single-surgeon or practice sites had lower quality scores (JAMA scores).
• AI responses predominantly cited academic sources and had higher JAMA scores than traditional search results.

Conclusions:

• Online blepharoplasty information quality is highly variable and often lacks reliability.
• AI tools show potential for providing higher-quality patient education than traditional search results.
• Regulation and oversight are crucial for ensuring the accuracy of AI-generated medical information.