Evidence map›Paper›PMID 37161553›Full record

ArticleThe Eurasian journal of medicine2023

Anesthesiologists' Perspective on the Use of Artificial Intelligence in Ultrasound-Guided Regional Anaesthesia in Terms of Medical Ethics and Medical Education: A Survey Study.

Yasemin Koçer Tulgar, Serkan Tulgar, Selin Güven Köse, Halil Cihan Köse, Gülten Çevik Nasırlıer, Meltem Doğan, David Terence Thomas

2 registry-linked trialsAbstract read
In one paragraph

Article in The Eurasian journal of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT06480045 nacompletednot on this map

Usage Of Artificial Intelligence-Integrated Usg In Application of Pectoral Block In Mastectomies

TypeinterventionalSponsorBaskent UniversityRan2021 to 2023Enrolled70ConditionsBreast NeoplasmsArmsPerformed PECS II block with AI integrated USG, Performed PECS II block with conventional USG
NCT07522658 completednot on this mapstarted 2026, after this paper: background citation

Comparison of Artificial Intelligence-Generated and Academician-Developed Multiple True/False Questions in Anesthesiology Education: A Prospective Cohort Study

TypeobservationalSponsorKutahya Health Sciences UniversityRan2026 to 2026Enrolled26ConditionsMedical Education, Artificial Intelligence, Assessment Methods in Medical Training
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Review
  6. Article
  7. Reshaping Anesthesia with Artificial Intelligence: From Concept to Reality.Anesthesia and critical care (Houston, Tex.) · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

7 authors.

Yasemin Koçer TulgarDepartment of Medical History and Ethics, Kocaeli University Faculty of Medicine, Kocaeli, Turkey; Department of Medical History and Ethics, Samsun University Faculty of Medicine, Samsun, Turkey.
Serkan TulgarDepartment of Anaesthesiology and Reanimation, Samsun University Faculty of Medicine, Samsun Training and Research Hospital, Samsun, Turkey.
Selin Güven KöseDepartment of Pain Medicine, Health Science University, Derince Training and Research Hospital, Kocaeli, Turkey.
Halil Cihan KöseDepartment of Pain Medicine, Health Science University, Derince Training and Research Hospital, Kocaeli, Turkey.
Gülten Çevik NasırlıerDepartment of Medical History and Ethics, Kocaeli University Faculty of Medicine, Kocaeli, Turkey.
Meltem DoğanDepartment of Medical History and Ethics, Kocaeli University Faculty of Medicine, Kocaeli, Turkey; Department of First and Emergency Aid Program, İstanbul Şişli Vocational School, İstanbul, Turkey.
David Terence ThomasDepartment of Medical Education, Maltepe University Faculty of Medicine, İstanbul, Turkey; Department of Pediatric Surgery, Maltepe University Faculty of Medicine, İstanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveControversy exists around the world as experts disagree on what artificial intelligence will imply for humanity in the future. Medical experts are starting to share perspectives on artificial intelligence with ethical and legal concerns appearing to prevail. The purpose of this study was to determine how anesthesiology and reanimation specialists in Turkey perceive the use of artificial intelligence in ultrasound-guided regional anesthetic applications in terms of medical ethics and education, as well as their perspectives on potential ethical issues. MATERIALS AND

methodsThis descriptive and cross-sectional survey was conducted across Turkey between July 1 and August 31. Data were collected through an online questionnaire distributed by national associations and social media platforms. The questionnaire included questions about the descriptive features of the participants and the possible ethical problems that may be encountered in the use of artificial intelligence in regional anesthesia and 20 statements that were requested to be evaluated.

resultsThe average age of the 285 anesthesiologists who took part in the study was 42.00 ± 7.51, 144 of them were male, the average years spent in the field was 10.95 ± 7.15 years, 59.3% were involved in resident training, and 74.7% habitually used ultrasound guidance regional anesthetic applications. Of the participants, 80% thought artificial intelligence would benefit patients, 86.7% thought it would benefit resident training, 81.4% thought it would benefit post-graduate medical education, and 80.7% thought it would decrease complications in practice. There will be no ethical issues if sonographic data are captured anonymously, according to 78.25%, while 67% are concerned about who will be held accountable for inaccuracies.

conclusionThe majority of anesthetists believe that using artificial intelligence in regional anesthetic applications will decrease complications. Although ethical concerns about privacy and data governance are low, participants do have ethical worries about "accountability for errors."

Identifiers

PMID37161553
PMCPMC10440966

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Registered trials

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.