首页|University of Genova Reports Findings in Machine Learning (Development of machin e learning models for fractional flow reserve prediction in angiographically int ermediate coronary lesions)
University of Genova Reports Findings in Machine Learning (Development of machin e learning models for fractional flow reserve prediction in angiographically int ermediate coronary lesions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Genova, Italy, by NewsRx journalists, research stated, “Fractional flow reserve (FFR)represen ts the gold standard in guiding the decision to proceed or not with coronary rev ascularizationof angiographically intermediate coronary lesion (AICL). Optical coherence tomography (OCT) allows tocarefully characterize coronary plaque morp hology and lumen dimensions.”
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