首页|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)
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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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.”
ParisFranceEuropeArtificial Intell igenceBiomarkersCardiologyCardiovascularCardiovascular ResearchDiagnos tics and ScreeningEmerging TechnologiesHealth and MedicineMachine LearningMagnetic ResonancePrognostic MarkersRisk and Prevention
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