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)
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.”
Key words
Bispebjerg University Hospital/Algorith ms/Artificial Intelligence/Computed Tomography/Emerging Technologies/Imaging Technology/Machine Learning/Technology
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