Evidence map›Paper›PMID 40994514›Full record

ArticleSaudi journal of anaesthesia

The use of artificial intelligence in anesthesiology: Attitudes and ethical concerns of anesthesiologists.

Selin Erel, Aslıhan G Kılıç

Abstract read
In one paragraph

Article in Saudi journal of anaesthesia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

2 authors.

Selin ErelDepartment of Anesthesiology and Reanimation, Gazi University Faculty of Medicine, Ankara, Turkiye.
Aslıhan G KılıçDepartment of Anesthesiology and Reanimation, Gazi University Faculty of Medicine, Ankara, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Existing studies on anesthesiologists' attitudes toward artificial intelligence (AI) leave a global understanding underexplored. This cross-sectional study aims to investigate Turkish anesthesiologists' attitudes toward AI, examining its perceived benefits, limitations, and associated ethical concerns. Insights from this study aim to enhance understanding of AI's role in anesthesiology within a cultural and ethical context. Methods: This nationwide study surveyed Turkish anesthesiologists. Descriptive statistics summarized categorical variables, Pearson's Chi-square test compared variables between groups. Binary logistic regression analyzed associations between demographic factors and positive attitudes toward AI. Results: Among 293 valid responses, 69.6% of participants expressed positive attitudes toward AI. Gender ( Conclusions: Turkish anesthesiologists exhibited predominantly positive attitudes toward AI, with prior experience playing a significant role in shaping perceptions. While AI was embraced for academic, educational, and noninvasive tasks, skepticism was present toward its application in invasive procedures. These findings highlight AI's potential to enhance efficiency and patient safety while underscoring the need for comprehensive legal and ethical frameworks.

Indexed as

Anesthesiologistartificial intelligenceattitudeethicsperception

Identifiers

PMID40994514
PMCPMC12456631

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.