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UrduInvestigators with the Smidt Heart Institute at Cedars-Sinai have developed an artificial intelligence (AI) program to detect the presence and severity of mitral valve regurgitation, the most common heart valve disorder.
Tag: deep learning model
Data analysis of electronic medical records can predict adverse outcomes and suggest medications
Electronic medical records (EMRs) are digital versions of the paper charts typically found in clinician offices, clinics, and hospitals and are mostly used by healthcare providers for diagnosis and treatment. New research has leveraged EMR data analysis to predict the risk of developing adverse outcomes in the near future based on an individual’s medical history, and also pinpoint which medications may have beneficial effects.
AI can use human perception to help tune out noisy audio
Researchers have developed a new deep learning model that promises to significantly improve audio quality in real-world scenarios by taking advantage of a previously underutilized tool: human perception.