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

IF 0.9 Q3 MEDICINE, GENERAL & INTERNAL
Yasemin Koçer Tulgar, Serkan Tulgar, Selin Güven Köse, Halil Cihan Köse, Gülten Çevik Nasırlıer, Meltem Doğan, David Terence Thomas
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引用次数: 2

Abstract

Objective: Controversy 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 methods: This 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.

Results: The 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.

Conclusion: The 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."

Abstract Image

Abstract Image

从医学伦理和医学教育的角度看麻醉师在超声引导区域麻醉中使用人工智能的观点:一项调查研究
目标:关于人工智能对人类未来的影响,专家们意见不一,世界各地都存在争议。医学专家开始分享对人工智能的看法,伦理和法律方面的担忧似乎占上风。本研究的目的是确定土耳其的麻醉学和复苏专家如何看待在超声引导区域麻醉应用中使用人工智能在医学伦理和教育方面的作用,以及他们对潜在伦理问题的看法。材料和方法:这项描述性和横断面调查于7月1日至8月31日在土耳其进行。数据是通过国家协会和社交媒体平台分发的在线问卷收集的。问卷包括参与者的描述性特征、人工智能在区域麻醉中可能遇到的伦理问题等问题,并要求对20项陈述进行评估。结果:285名参与研究的麻醉医师平均年龄为42.00±7.51岁,其中男性144人,平均工作年限为10.95±7.15岁,59.3%的麻醉医师参加过住院医师培训,74.7%的麻醉医师习惯使用超声引导区域麻醉。在参与者中,80%的人认为人工智能会使患者受益,86.7%的人认为它会使住院医师培训受益,81.4%的人认为它会使研究生医学教育受益,80.7%的人认为它会减少实践中的并发症。78.25%的人表示,如果匿名获取超声数据,则不会出现伦理问题,而67%的人担心谁将对不准确的数据负责。结论:大多数麻醉师认为在区域麻醉应用中使用人工智能可以减少并发症。尽管对隐私和数据治理的道德担忧很低,但参与者确实对“错误问责制”存在道德担忧。
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来源期刊
Eurasian Journal of Medicine
Eurasian Journal of Medicine Medicine-Medicine (all)
CiteScore
1.90
自引率
6.70%
发文量
59
审稿时长
16 weeks
期刊介绍: Eurasian Journal of Medicine (Eurasian J Med) is an international, scientific, open access periodical published by independent, unbiased, and triple-blinded peer-review principles. The journal is the official publication of Atatürk University School of Medicine and published triannually in February, June, and October. The publication language of the journal is English. The aim of the Eurasian Journal of Medicine is to publish original research papers of the highest scientific and clinical value in all medical fields. The Eurasian J Med also includes reviews, editorial short notes and letters to the editor that either as a comment related to recently published articles in our journal or as a case report. The target audience of the journal includes researchers, physicians and healthcare professionals who are interested or working in in all medical disciplines.
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