Robotics & Machine Learning Daily News2024,Issue(Sep.20) :88-88.

Swiss Federal Institute of Technology Zurich (ETH) Reports Findings in Artificia l Intelligence (Prediction of sudden cardiac death using artificial intelligence : Current status and future directions)

Robotics & Machine Learning Daily News2024,Issue(Sep.20) :88-88.

Swiss Federal Institute of Technology Zurich (ETH) Reports Findings in Artificia l Intelligence (Prediction of sudden cardiac death using artificial intelligence : Current status and future directions)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Zurich, Switzer land, by NewsRx editors, research stated, “Sudden cardiac death (SCD) remains a pressing health issue, affecting hundreds of thousands each year globally. The h eterogeneity among SCD victims, ranging from individuals with severe heart failu re to seemingly healthy individuals, poses a significant challenge for effective risk assessment.” Our news journalists obtained a quote from the research from the Swiss Federal I nstitute of Technology Zurich (ETH), “Conventional risk stratification, which pr imarily relies on left ventricular ejection fraction, has resulted in only modes t efficacy of implantable cardioverter-defibrillators (ICD) for SCD prevention. In response, artificial intelligence (AI) holds promise for personalised SCD ris k prediction and tailoring preventive strategies to the unique profiles of indiv idual patients. Machine and deep learning algorithms have the capability to lear n intricate non-linear patterns between complex data and defined endpoints, and leverage these to identify subtle indicators and predictors of SCD that may not be apparent through traditional statistical analysis. However, despite the poten tial of AI to improve SCD risk stratification, there are important limitations t hat need to be addressed.”

Key words

Zurich/Switzerland/Europe/Artificial Intelligence/Cardiology/Emerging Technologies/Health and Medicine/Machine Le arning/Risk and Prevention/Sudden Cardiac Death

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文