Evidence map›Paper›PMID 41983513›Full record

ArticleChronic respiratory disease

Comparative assessment of ChatGPT and Gemini answers to common chronic obstructive pulmonary disease questions: An expert panel evaluation by pulmonologists.

Mutlu Onur Güçsav, Damla Serçe Unat, Onur Akçay, Ömer Selim Unat, Aysu Ayrancı, Ahmet Emin Erbaycu

Abstract readComparative Study
In one paragraph

Article in Chronic respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mutlu Onur GüçsavDepartment of Chest Diseases, Bakırcay University, Cigli Training and Research Hospital, Izmir, Turkiye.ORCID 0000-0003-2969-4766
Damla Serçe UnatDepartment of Chest Diseases, Bakırcay University, Cigli Training and Research Hospital, Izmir, Turkiye.ORCID 0000-0003-4743-5469
Onur AkçayDepartment of Thoracic Surgery, Bakırcay University, Cigli Training and Research Hospital, Izmir, Turkiye.ORCID 0000-0002-7233-2122
Ömer Selim UnatDepartment of Chest Diseases, University of Health Sciences, Dr. Suat Seren Chest Disease and Thoracic Surgery Training and Research Hospital, Izmir, Turkiye.ORCID 0000-0002-5708-2233
Aysu AyrancıDepartment of Chest Diseases, Bakırcay University, Cigli Training and Research Hospital, Izmir, Turkiye.ORCID 0000-0002-8939-336X
Ahmet Emin ErbaycuDepartment of Chest Diseases, Bakırcay University, Cigli Training and Research Hospital, Izmir, Turkiye.ORCID 0000-0001-6618-6774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundAI-based chatbots are increasingly used as sources of health information. However, their reliability in delivering accurate and scientifically sound responses to patient questions remains uncertain, especially in chronic diseases such as chronic obstructive pulmonary disease (COPD). This study aims to compare the reliability of ChatGPT-4o and Gemini 2.5 Flash in providing patient-centered medical information on COPD.MethodsA total of 34 common public questions about COPD were submitted to ChatGPT-4o and Gemini 2.5 Flash. Responses were evaluated blindly by four pulmonologists across three domains: accuracy, clarity, and scientific adequacy. The mean scores and word counts were analyzed and compared via nonparametric tests.ResultsGemini 2.5 Flash outperforms ChatGPT-4o in terms of scientific adequacy (mean score: 4.69 ± 0.31 vs. 4.34 ± 0.45,

Indexed as

Patient Education as TopicPulmonary Disease, Chronic ObstructiveGenerative Artificial IntelligenceHumansPulmonologistsReproducibility of ResultsSurveys and Questionnaireschronic obstructive pulmonary diseasegenerative artificial intelligencehallucinationshealth educationtelemedicine

Identifiers

PMID41983513
PMCPMC13087371

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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.