Universite Paris Cite Reports Findings in Artificial Intelligence (Artificial in telligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonanc e)

Robotics & Machine Learning Daily News2024，Issue(Oct.10) ：77-78.

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Universite Paris Cite Reports Findings in Artificial Intelligence (Artificial in telligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonanc e)

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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 originating from Paris, France, by NewsRx correspondents, research stated, “This study aimed to determ ine in patients undergoing stress cardiovascular magnetic resonance (CMR) whethe r fully automated stress artificial intelligence (AI)-based left ventricular eje ction fraction (LVEFAI) can provide incremental prognostic value to predict deat h above traditional prognosticators. Between 2016 and 2018, we conducted a longi tudinal study that included all consecutive patients referred for vasodilator st ress CMR.”

Key words

Paris/France/Europe/Artificial Intell igence/Biomarkers/Cardiology/Cardiovascular/Cardiovascular Research/Diagnos tics and Screening/Emerging Technologies/Health and Medicine/Machine Learning/Magnetic Resonance/Prognostic Markers/Risk and Prevention

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出版年

2024

Robotics & Machine Learning Daily News

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