Looking through the crystal ball feasibility of tele-echocardiography using smart glasses in neonates: a pilot study

医学 考试(生物学) 前瞻性队列研究 内科学 古生物学 生物
作者
Anna Michaelis,Michael Weidenbach,I. Altmann,Franziska Markel,Florian Loeffelbein,Ingo Daehnert,Roman Gebauer,Christian Paech
出处
期刊:Cardiology in The Young [Cambridge University Press]
卷期号:: 1-6 被引量:2
标识
DOI:10.1017/s1047951124026647
摘要

Abstract Background: In recent years, the importance of telemedicine has increased significantly. Especially in the field of echocardiography, virtual reality glasses offer the possibility of real-time data transmission without restrictions in the examination process. In particular, the care of critically ill newborns with suspected CHD might be improved by allowing a specialized paediatric cardiologist to remotely guide an echocardiographic examination. The current study aims to prove whether novices, under Google Glass guidance by a paediatric cardiologist, can perform an appropriate neonatal echocardiography. Methods: The current study is a prospective monocentric single-blinded pilot study. Participants were supposed to perform two test runs: The first test run was “unguided” and the second test run was instructed via Google Glass. A validated training simulator for neonatal echocardiography “EchocomNeo, Echocom GmbH” was used. The study took place at the Leipzig Heart Center, Department of Pediatric Cardiology from April 2022 to November 2022. Results: A total of 21 medical students were enrolled. In total 252 views (126 views in each test run) were recorded. The overall performance was significantly higher in the Google Glass guided test run compared to “unguided” (structure score: 77.6% vs. 63.2%. p < 0.001 and quality score: 58.7% vs. 47.2%, p < 0.001). Also, the time was significantly lower in the Google Glass guided test run than in the unguided test run, p = 0.014. Conclusion: Google Glass guidance by a paediatric cardiologist could optimize the performance of novices in echocardiography using a standardized neonatal echo-simulator with structural normal cardiac anatomy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
2秒前
3秒前
3秒前
4秒前
4秒前
haitun完成签到,获得积分10
5秒前
老金金发布了新的文献求助10
7秒前
王南晰完成签到 ,获得积分10
7秒前
xRuri发布了新的文献求助10
7秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
Sun应助科研通管家采纳,获得10
8秒前
bkagyin应助科研通管家采纳,获得10
8秒前
思源应助科研通管家采纳,获得10
8秒前
Owen应助科研通管家采纳,获得10
8秒前
烟花应助科研通管家采纳,获得10
8秒前
所所应助科研通管家采纳,获得10
8秒前
lkx发布了新的文献求助10
8秒前
10秒前
爆米花应助Rita采纳,获得50
11秒前
喜悦绿旋发布了新的文献求助10
11秒前
无私的电灯胆完成签到 ,获得积分10
11秒前
天天快乐应助兴奋的果汁采纳,获得10
12秒前
彭于晏应助PG采纳,获得10
13秒前
思嗡发布了新的文献求助10
14秒前
Juli完成签到,获得积分10
15秒前
devilito发布了新的文献求助10
16秒前
852应助兴奋的果汁采纳,获得10
17秒前
小菜鸟001完成签到,获得积分0
19秒前
英俊的铭应助峰宝宝采纳,获得10
20秒前
20秒前
科研通AI5应助张茜采纳,获得10
22秒前
科研小民工应助了无益采纳,获得50
22秒前
Lin应助要减肥冰菱采纳,获得20
24秒前
25秒前
梦之完成签到 ,获得积分10
25秒前
25秒前
25秒前
26秒前
cxy20230927发布了新的文献求助10
27秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Machine Learning Methods in Geoscience 1000
Weirder than Sci-fi: Speculative Practice in Art and Finance 960
Resilience of a Nation: A History of the Military in Rwanda 888
Massenspiele, Massenbewegungen. NS-Thingspiel, Arbeiterweibespiel und olympisches Zeremoniell 500
Essentials of Performance Analysis in Sport 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3727963
求助须知:如何正确求助?哪些是违规求助? 3273011
关于积分的说明 9979560
捐赠科研通 2988384
什么是DOI,文献DOI怎么找? 1639597
邀请新用户注册赠送积分活动 778819
科研通“疑难数据库(出版商)”最低求助积分说明 747817