Evidence map›Paper›PMID 42745325›Full record

ArticleJournal of cardiothoracic surgery2026

Awareness and perceptions of artificial intelligence among pulmonologists and thoracic surgeons: a national survey.

Gizem Özçıbık Işık, Neslihan Özçelik, Hasan Volkan Kara

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gizem Özçıbık IşıkDepartment of Thoracic Surgery, Yedikule Chest Diseases and Thoracic Surgery Education and Research Hospital, İstanbul, Türkiye. ozcibikgizem@gmail.com.ORCID http://orcid.org/0000-0002-1448-2448
Neslihan ÖzçelikDepartment of Pulmonary Medicine, Recep Tayyip Erdogan University Medical Faculty, Rize, Türkiye.ORCID http://orcid.org/0000-0002-4672-6179
Hasan Volkan KaraDepartment of Thoracic Surgery, Istanbul University Cerrahpasa-Cerrahpasa Medical Faculty, İstanbul, Türkiye.ORCID http://orcid.org/0000-0001-7702-9731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI), a set of algorithms that mimic human intelligence, is increasingly being used in the healthcare field.

objectiveThis study aims to evaluate the awareness, expectations, and concerns of pulmonologists and thoracic surgeons regarding AI, as well as to assess their level of adaptation to these technologies.

methodsA 23-item online survey was administered to specialists and residents in the fields of pulmonology and thoracic surgery between January and May 2025. Participation was voluntary, and informed consent was obtained from all respondents. Data were analyzed using SPSS version 27.0, with a p-value of < 0.05 considered statistically significant.

resultsAmong the 302 participants, 65.6% were pulmonologists and 34.4% were thoracic surgeons. A total of 85.4% believed that AI will be actively used in clinical practice, and 67.5% believed that AI would reduce the need for physician workforce. However, 59.3% considered AI less successful than physicians in diagnosis, and 65.6% in treatment. In addition, 86.8% emphasized the need for legal regulations, and 58.3% expressed concerns about data privacy.

conclusionsParticipants generally expressed a positive attitude toward AI, although they remained cautious due to ethical, legal, and technical concerns. Comprehensive regulations regarding education, legislation, and data security are needed to ensure the safe and effective integration of AI into clinical practice.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelPulmonologistsSurgeonsThoracic SurgeryAdultFemaleHumansMaleMiddle AgedSurveys and QuestionnairesArtificial IntelligencePulmonologistsSurveyThoracic Surgeons

Identifiers

PMID42745325
PMCPMC13576169

What OpenQuestion holds

Textmetadata
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Registered trials

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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.