首页|Research from Bispebjerg University Hospital Provide New Insights into Artificia l Intelligence (Artificial intelligence to detect pulmonary congestion on chest computed tomography in consecutive dyspnoeic patients)
Research from Bispebjerg University Hospital Provide New Insights into Artificia l Intelligence (Artificial intelligence to detect pulmonary congestion on chest computed tomography in consecutive dyspnoeic patients)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in artificial intelligence. According to news reporting fromBispebjerg University Hospital by NewsRx journalists, research stated, “Pulmonary congestion is a hallmarkof acu te heart failure (AHF), and essential for the diagnosis, treatment, and risk str atification. We havepreviously shown that a low-dose chest CT has four times gr eater odds than chest radiographs to detectpulmonary congestion. However, imple mentation is limited by shortage of radiologists.”
Bispebjerg University HospitalAlgorith msArtificial IntelligenceComputed TomographyEmerging TechnologiesImaging TechnologyMachine LearningTechnology
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