Evidence map›Paper›PMID 39936545›Full record

ArticleThe journal of international advanced otology2025

Postoperative Management of Tympanoplasty with ChatGPT-4.0.

Aynur Aliyeva, Elvin Alaskarov, Elif Sari

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
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  7. Comment on "Postoperative Management of Tympanoplasty with ChatGPT-4.0".The journal of international advanced otology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Aynur AliyevaDivision of Otorhinolaryngology-Head and Neck Surgery, The Catholic University St.Mary Hospital Medical Center, Seoul, South Korea.ORCID 0000-0001-9398-4261
Elvin AlaskarovDepartment of Otolaryngology, İstanbul Medipol University Health Care Practice and Research Center Esenler Hospital, İstanbul, Türkiye.ORCID 0000-0002-3572-0062
Elif SariDepartment of Otorhinolaryngology-Head and Neck Surgery, İstanbul Aydın University, VM Medikal Park Florya Hospital, İstanbul, Türkiye.ORCID 0000-0003-4618-6341

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial IntelligencePatient Education as TopicPostoperative CareTympanic Membrane PerforationTympanoplastyFeasibility StudiesGenerative Artificial IntelligenceHumansSurveys and Questionnaires

Identifiers

PMID39936545
PMCPMC11843261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.