Artificial Intelligence for Patient Support: Assessing Retrieval-Augmented Generation for Answering Postoperative Rhinoplasty Questions

Abstract excerpt

(1) Background: Artificial Intelligence (AI) can enhance patient education, but pre-trained models like ChatGPT provide inaccuracies. This study assessed a potential solution, Retrieval-Augmented Generation (RAG), for answering postoperative rhinoplasty inquiries; (2) Methods: Gemi-ni-1.0-Pro-002, Gemini-1.5-Flash-001, Gemini-1.5-Pro-001, and PaLM 2 were developed and posed 30 questions, using RAG to retrieve from...

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• Infant Development and Preterm Care
• Retinopathy of Prematurity Studies

Identifiers and source

Literature Corpus work

1241c6e7-0b80-55f9-8b01-234f5f70c930

DOI

10.20944/preprints202412.0297.v1