Generation Z versus generative artificial intelligence: a cross-sectional study assessing medical students' confidence and over-reliance on artificial intelligence in perioperative clinical scenarios.

IF 6.8 2区医学 Q1 ANESTHESIOLOGY

European Journal of Anaesthesiology Pub Date : 2025-09-18 DOI:10.1097/EJA.0000000000002282

Sarah Saxena, Marc Nkana Tsobgnie, Roberta Südy, Mia Gisselbaek, Jerome R Lechien, Michele Carella, Pierre Luigi Ingrassia, Peter Dieckmann, Joana Berger-Estilita

引用次数: 0

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Z世代与生成式人工智能：一项评估医学生在围手术期临床场景中对人工智能的信心和过度依赖的横断面研究

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Journal of Anaesthesiology 医学-麻醉学

CiteScore

6.90

自引率

11.10%

发文量

351

审稿时长

6-12 weeks

期刊介绍： The European Journal of Anaesthesiology (EJA) publishes original work of high scientific quality in the field of anaesthesiology, pain, emergency medicine and intensive care. Preference is given to experimental work or clinical observation in man, and to laboratory work of clinical relevance. The journal also publishes commissioned reviews by an authority, editorials, invited commentaries, special articles, pro and con debates, and short reports (correspondences, case reports, short reports of clinical studies).