首页|University of Toronto Reports Findings in Subglottic Stenosis (Using Machine Lea rning for Endoscopic Detection of Low-Grade Subglottic Stenosis: A Proof of Prin ciple)
University of Toronto Reports Findings in Subglottic Stenosis (Using Machine Lea rning for Endoscopic Detection of Low-Grade Subglottic Stenosis: A Proof of Prin ciple)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Subglottic Stenosis is the subjec t of a report. According to news originatingfrom Toronto, Canada, by NewsRx cor respondents, research stated, “The current study trains, tests, andevaluates a deep learning algorithm to detect subglottic stenosis (SGS) on endoscopy. A retr ospectivereview of patients undergoing microlaryngoscopy-bronchoscopy was perfo rmed.”
TorontoCanadaNorth and Central Ameri caAlgorithmsAngiologyCyborgsEmerging TechnologiesHealth and MedicineLaryngostenosisMachine LearningStenosisSubglottic Stenosis
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