首页|Hasselt University Reports Findings in Artificial Intelligence (Invasive fractio nal-flow-reserve prediction by coronary CT angiography using artificial intellig ence vs. computational fluid dynamics software in intermediate-grade stenosis)
Hasselt University Reports Findings in Artificial Intelligence (Invasive fractio nal-flow-reserve prediction by coronary CT angiography using artificial intellig ence vs. computational fluid dynamics software in intermediate-grade stenosis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reportingout of Diepenbeek, Bel gium, by NewsRx editors, research stated, “Coronary computed angiography(CCTA) with non-invasive fractional flow reserve (FFR) calculates lesion-specific ische mia when comparedwith invasive FFR and can be considered for patients with stab le chest pain and intermediate-grade stenosesaccording to recent guidelines. Th e objective of this study was to compare a new CCTA-based artificialintelligence deep-learning model for FFR prediction (FFR) to computational fluid dynamics C T-derivedFFR (FFR) in patients with intermediate-grade coronary stenoses with F FR as reference standard.”
DiepenbeekBelgiumEuropeAngiographyAngiologyArtificial IntelligenceCardiologyCardiovascular Diagnostic Tech niquesDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineM achine LearningSoftwareStenosis
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