Background: The increasing popularity of Large Language Models (LLMs) in various healthcare settings has raised questions about their ability to provide accurate and reliable information. This study aimed to evaluate the informational value of Large Language Models responses in aesthetic plastic surgery by comparing them with the opinions of experienced surgeons.
Methods: Thirty patients undergoing three common aesthetic procedures-dermal fillers, botulinum toxin injections, and aesthetic blepharoplasty-were selected.