Prediction of outcomes after cardiac arrest by a generative artificial intelligence model-Reference-Cited by-同舟云学术

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Prediction of outcomes after cardiac arrest by a generative artificial intelligence model

Published:2024-06 Issue: Volume:18 Page:100587
ISSN:2666-5204
Container-title:Resuscitation Plus
language:en
Short-container-title:Resuscitation Plus

Author:

Amacher Simon A.,Arpagaus Armon,Sahmer Christian,Becker Christoph,Gross Sebastian,Urben Tabita,Tisljar Kai,Sutter Raoul,Marsch Stephan,Hunziker Sabina^ORCID

Publisher

Elsevier BV

Reference58 articles.

1. Brain injury after cardiac arrest: pathophysiology, treatment, and prognosis;Sandroni;Intensive Care Med,2021

2. Prognostication after cardiac arrest;Sandroni;Crit Care,2018

3. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association;Virani;Circulation,2021

4. Protocol-driven neurological prognostication and withdrawal of life-sustaining therapy after cardiac arrest and targeted temperature management;Dragancea;Resuscitation,2017

5. Awakening and withdrawal of life-sustaining treatment in cardiac arrest survivors treated with therapeutic hypothermia*;Mulder;Crit Care Med,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Yapay Zekâ Eşliğinde Kardiak Arreste Yaklaşım Sağ Kalım Oranını Artırır mı? Nörolojik Sonuçlar İyileşir mi?;Ağrı Tıp Fakültesi Dergisi;2024-06-30

2. Pediatric out-of-hospital cardiac arrest still needs more attention;Resuscitation;2024-05

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