ArticleThe journal of international advanced otology2025
Postoperative Management of Tympanoplasty with ChatGPT-4.0.
Article in The journal of international advanced otology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Large Language Model-Assisted Shared Decision-Making (SDM) in Rhinology: A Randomized Controlled Pilot Study.Laryngoscope investigative otolaryngology · 2026Article
- Feasibility evaluation of large language models in anesthesia-specific post-operative care instructions for total knee arthroplasty.PEC innovation · 2026Article
- Article
- A systematic review of the limitations of large language models in generating healthcare content.PLOS digital health · 2026Article
- Artificial Intelligence in Rhinoplasty Recovery: Linguistic Intelligence and Machine Learning-Driven Insights.Journal of clinical medicine · 2026Article
- AI at the Sella Turcica: Multi-Model Large Language Model Evaluation in Pituitary Adenomas.Brain & spine · 2026Article
- Comment on "Postoperative Management of Tympanoplasty with ChatGPT-4.0".The journal of international advanced otology · 2025Article
- Advancing AI Horizons: Scientific Conversations on Tympanoplasty Postoperative Management.The journal of international advanced otology · 2025Article
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Tympanoplasty, essential for repairing tympanic membrane perforations, requires careful postoperative care for successful recovery. However, timely access to healthcare guidance can be challenging, especially in rural or underserved areas. ChatGPT-4, an artificial intelligence (AI) tool, offers a potential solution for continuous postoperative support and patient education. This study assesses the feasibility and effectiveness of using ChatGPT-4 as a supplementary information resource for tympanoplasty patients, focusing on its ability to provide accurate, precise, and relevant postoperative guidance in situations where access to healthcare professionals is limited. Methods: Ten commonly asked postoperative questions related to tympanoplasty were posed to ChatGPT-4, including queries on infection signs, activity restrictions, and wound care. Ten medical professionals evaluated the responses based on accuracy, response time, clarity, and relevance. Results: ChatGPT-4 provided responses that aligned well with current medical guidelines, achieving an accuracy rating between 80% and 100% across different questions. Response time was consistently fast, with 100% of responses delivered immediately. Clarity and relevance ratings were also high, with 90% or more responses rated as easy to understand and directly addressing patient concerns. Conclusion: ChatGPT-4 shows considerable promise as an adjunctive tool in postoperative tympanoplasty care, offering timely, understandable information that supports patients following aftercare instructions. While not a replacement for professional medical advice, ChatGPT-4's capability to deliver accurate and relevant information enhances accessibility to postoperative guidance, particularly in remote or resourcelimited settings, underscoring AI's growing role in otolaryngology patient support.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.