Robotics & Machine Learning Daily News2024,Issue(Jan.5) :4-5.

University of Toronto Reports Findings in Dysphagia (Machinelearning assisted swallowing assessment: a deep learning-based quality improvement tool to screen for post-stroke dysphagia)

Robotics & Machine Learning Daily News2024,Issue(Jan.5) :4-5.

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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Abstract

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.”

Key words

Toronto/Canada/North and Central America/Cyborgs/Deglutition Disorders/Digestive System Diseases and Conditions/Dysphagia/Emerging Technologies/Gastroenterology/Health and Medicine/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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