Evidence map›Paper›PMID 39559040›Full record

ArticleIndian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India2024

Performance of Novel GPT-4 in Otolaryngology Knowledge Assessment.

Lucy Revercomb, Aman M Patel, Daniel Fu, Andrey Filimonov

Abstract read
In one paragraph

Article in Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Prompt injection of OpenAI custom GPTs leaks informatics secrets.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  3. Article
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

4 authors.

Lucy RevercombDepartment of Otolaryngology - Head and Neck Surgery, Rutgers New Jersey Medical School, 185 S Orange Ave Newark, Newark, NJ 07103 USA.ORCID 0009-0002-9996-8240
Aman M PatelDepartment of Otolaryngology - Head and Neck Surgery, Rutgers New Jersey Medical School, 185 S Orange Ave Newark, Newark, NJ 07103 USA.
Daniel FuDepartment of Otolaryngology - Head and Neck Surgery, Rutgers New Jersey Medical School, 185 S Orange Ave Newark, Newark, NJ 07103 USA.
Andrey FilimonovDepartment of Otolaryngology - Head and Neck Surgery, Rutgers New Jersey Medical School, 185 S Orange Ave Newark, Newark, NJ 07103 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: GPT-4, recently released by OpenAI, improves upon GPT-3.5 with increased reliability and expanded capabilities, including user-specified, customizable GPT-4 models. This study aims to investigate updates in GPT-4 performance vs. GPT-3.5 on Otolaryngology board-style questions. Methods: 150 Otolaryngology board-style questions were obtained from the BoardVitals question bank. These questions, which were previously assessed with GPT-3.5, were inputted into standard GPT-4 and a custom GPT-4 model designed to specialize in Otolaryngology board-style questions, emphasize precision, and provide evidence-based explanations. Results: Standard GPT-4 correctly answered 72.0% and custom GPT-4 correctly answered 81.3% of the questions, vs. GPT-3.5 which answered 51.3% of the same questions correctly. On multivariable analysis, custom GPT-4 had higher odds of correctly answering questions than standard GPT-4 (adjusted odds ratio 2.19, Conclusions: Our study suggests that GPT-4 has higher accuracy than GPT-3.5 in answering Otolaryngology board-style questions. Our custom GPT-4 model demonstrated higher accuracy than standard GPT-4, potentially as a result of its instructions to specialize in Otolaryngology board-style questions, select exactly one answer, and emphasize precision. This demonstrates custom models may further enhance utilization of ChatGPT in medical education.

Indexed as

Artificial intelligenceBoard examinationGPT-4Medical educationOtolaryngology

Identifiers

PMID39559040
PMCPMC11569072

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.