文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

年轻神经外科医生与技术:意大利神经外科学会青年神经外科医生分会调查(Società Italiana di Neurochirurgia,SINch)。

Young Neurosurgeons and Technology: Survey of Young Neurosurgeons Section of Italian Society of Neurosurgery (Società Italiana di Neurochirurgia, SINch).

机构信息

IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma Neurochirurgia Ipofisi-Pituitary Unit, Bologna, Italy; Department of Bio-Medical and Neuro-Motor Sciences (DIBINEM), University of Bologna, Bologna, Italy.

Neurosurgery Unit, Fatebenefratelli e Oftalmico Hospital, Milan, Italy.

出版信息

World Neurosurg. 2022 Jun;162:e436-e456. doi: 10.1016/j.wneu.2022.03.022. Epub 2022 Mar 11.


DOI:10.1016/j.wneu.2022.03.022
PMID:35283359
Abstract

BACKGROUND: Technological advancement in neurosurgery is a continuous process aimed at improving existing devices and implementing innovative ones. Recently, artificial intelligence (AI)-derived technologies (i.e., machine learning and virtual or augmented reality) have been entering this field, promising to significantly change its future. The acquisition of technological skills should be a goal of training for young neurosurgeons. The aim of this study is the analysis of competence and attitude toward intraoperative devices of young neurosurgeons. METHODS: An online electronic survey was sent to 256 members of the Young Neurosurgeons Section of the Italian Society of Neurosurgery (Società Italiana di Neurochirurgia, SINch), inquiring about their competences and attitude toward surgical technologies and AI-derived devices. RESULTS: A total of 152 neurosurgeons participated in the survey. Most participants reported sufficient skills in autonomously setting up and using the optic neuronavigator (93.4% and 92.1%, respectively), advanced microscope (80.3% and 76.3%), magnetic neuronavigator (75% and 72.4%), ultrasonography (63.2% and 60.5%) and high-definition endoscope (55.3% and 46%). Most (92.1%) considered operative devices useful and 89.5% reported a high motivation to acquire technological skills. AI-derived devices have already been used by 56.6% of participants but only 31.6% received proper dedicated training. CONCLUSIONS: Italian young neurosurgeons have acquired technical skills sufficient for the autonomous use of the most common operative devices, reporting a positive attitude toward technology with high motivation to learn and awareness of their potential harmfulness. A promising number of participants had already used AI-derived technologies, although only a few had received focused training for these devices.

摘要

背景:神经外科学的技术进步是一个持续的过程,旨在改进现有设备并实施创新设备。最近,人工智能(AI)衍生技术(即机器学习和虚拟或增强现实)已经进入这个领域,有望显著改变其未来。掌握技术技能应该是年轻神经外科医生培训的目标。本研究旨在分析年轻神经外科医生对术中设备的能力和态度。

方法:向意大利神经外科学会(Società Italiana di Neurochirurgia,SINch)青年神经外科分会的 256 名成员发送了一份在线电子调查,询问他们对手术技术和 AI 衍生设备的能力和态度。

结果:共有 152 名神经外科医生参与了调查。大多数参与者报告说,他们具有自主设置和使用光学神经导航仪(分别为 93.4%和 92.1%)、高级显微镜(分别为 80.3%和 76.3%)、磁神经导航仪(分别为 75%和 72.4%)、超声(分别为 63.2%和 60.5%)和高清内窥镜(分别为 55.3%和 46%)的足够技能。大多数(92.1%)认为手术设备有用,89.5%的人表示有很高的学习技术技能的动力。56.6%的参与者已经使用了 AI 衍生设备,但只有 31.6%接受了专门的培训。

结论:意大利年轻神经外科医生已经掌握了足够的技术技能,可以自主使用最常见的手术设备,他们对技术持积极态度,学习动力很高,并且意识到其潜在的危害性。相当一部分参与者已经使用了 AI 衍生技术,但只有少数人接受过这些设备的专门培训。

相似文献

[1]
Young Neurosurgeons and Technology: Survey of Young Neurosurgeons Section of Italian Society of Neurosurgery (Società Italiana di Neurochirurgia, SINch).

World Neurosurg. 2022-6

[2]
From data to practice: brain meningioma treatment in elderly patients - a survey of the Italian Society of Neurosurgery (SINch®) and systematic review and meta-analysis.

Neurosurg Rev. 2024-7-31

[3]
Virtual and Augmented Reality in Neurosurgery: The Evolution of its Application and Study Designs.

World Neurosurg. 2022-5

[4]
Empowering Early Career Neurosurgeons in the Critical Appraisal of Artificial Intelligence and Machine Learning: The Design and Evaluation of a Pilot Course.

World Neurosurg. 2024-10

[5]
Machine Learning Identification of Surgical and Operative Factors Associated With Surgical Expertise in Virtual Reality Simulation.

JAMA Netw Open. 2019-8-2

[6]
Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey.

World Neurosurg. 2021-2

[7]
Machine learning in neurosurgery: a global survey.

Acta Neurochir (Wien). 2020-12

[8]
Advances in artificial intelligence, robotics, augmented and virtual reality in neurosurgery.

Front Surg. 2023-8-24

[9]
The impact of African-trained neurosurgeons on sub-Saharan Africa.

Neurosurg Focus. 2020-3-1

[10]
The "STARS-CASCADE" Study: Virtual Reality Simulation as a New Training Approach in Vascular Neurosurgery.

World Neurosurg. 2021-10

引用本文的文献

[1]
Knowledge, interest and perspectives on Artificial Intelligence in Neurosurgery. A global survey.

Brain Spine. 2024-12-9

[2]
Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery.

World Neurosurg X. 2024-3-8

[3]
The use of advanced technology for preoperative planning in cranial surgery - A survey by the EANS Young Neurosurgeons Committee.

Brain Spine. 2023-8-26

[4]
Editorial: From simulation to the operating theatre: new insights in translational surgery.

Front Med Technol. 2023-9-21

[5]
Transformation of neurosurgical training from "see one, do one, teach one" to AR/VR & simulation - A survey by the EANS Young Neurosurgeons.

Brain Spine. 2022-8-15

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索