首页|University of Toronto Reports Findings in Dysphagia (Machinelearning assisted swallowing assessment: a deep learning-based quality improvement tool to screen for post-stroke dysphagia)
University of Toronto Reports Findings in Dysphagia (Machinelearning assisted swallowing assessment: a deep learning-based quality improvement tool to screen for post-stroke dysphagia)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Digestive System Diseases and Conditions - Dysphagia is the subjectof a report. According to news reporting originating in Toronto, Canada, by NewsRx journalists, researchstated, “Post-stroke dysphagia is common and associated with significant morbidity and mortality, renderingbedside screening of significant clinical importance. Using voice as a biomarker coupled with deep learninghas the potential to improve patient access to screening and mitigate the subjectivity associated withdetecting voice change, a component of several validated screening protocols.”
TorontoCanadaNorth and Central AmericaCyborgsDeglutition DisordersDigestive System Diseases and ConditionsDysphagiaEmerging TechnologiesGastroenterologyHealth and MedicineMachine Learning