ChatGPT and Rhinoplasty Recovery: An Exploration of AI's Role in Postoperative Guidance

Overview

The authors describe this as the first published exploration of ChatGPT as a tool for postoperative guidance during rhinoplasty recovery, with the aim of clarifying its role in the critical weeks after surgery. Standardized questions were formulated using the Rhinobase database, covering the concerns patients most often raise, and the model's answers were evaluated.

Sections of note

• Design: exploratory evaluation of language model responses. No patients were involved.
• Questions were drawn from the Rhinobase database and standardized.
• Topics covered: pain management, swelling, bruising and potential asymmetries.
• Stated result: the model has potential to enhance patient education and reduce emotional distress by providing general information and reassurance.
• Stated caution: artificial intelligence should not replace personalized advice from qualified health care professionals.
• The abstract does not state how many questions were asked, who evaluated the answers, or by what criteria.
• No accuracy figures, error counts or expert comparison are reported.

What it means for a patient

• Swelling, bruising and asymmetry during recovery cause a lot of worry, and general information about what is normal can help.
• The reassurance the model provides is generic. It does not know your operation, your anatomy or what your surgeon did.
• No numbers or evaluation criteria are given, so how accurate the answers were cannot be judged from this abstract.
• Asymmetry during healing is common and often temporary, but distinguishing normal from abnormal requires someone who can examine the nose.

Why this paper matters

The weeks after rhinoplasty are when patients have the most questions and the least access to their surgeon, which is exactly the gap conversational software fills whether or not clinicians endorse it. Documenting what these tools say is a first step toward guiding their use. Whether the guidance is reliably safe remains untested here.

Terms

• Large language model: software trained on text that generates human like written responses.
• Postoperative guidance: advice given to a patient during recovery from surgery.
• Edema: swelling caused by fluid collecting in tissue.
• Ecchymosis: bruising, the discoloration from blood under the skin.
• Rhinobase: a rhinoplasty database used here as a source of standardized questions.