首页|University of Calgary Reports Findings in Machine Learning [P rospective validation of a machine learning model for applicator and hybrid inte rstitial needle selection in high-dose-rate (HDR) cervical brachytherapy]
University of Calgary Reports Findings in Machine Learning [P rospective validation of a machine learning model for applicator and hybrid inte rstitial needle selection in high-dose-rate (HDR) cervical brachytherapy]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Calgary, Canad a, by NewsRx journalists, research stated, “To Demonstrate theclinical validati on of a machine learning (ML) model for applicator and interstitial needle predi ction ingynecologic brachytherapy through a prospective clinical study in a sin gle institution. The study includedcervical cancer patients receiving high-dose -rate brachytherapy using intracavitary (IC) or hybrid interstitial(IC/IS) appl icators.”
CalgaryCanadaNorth and Central Ameri caBrachytherapyCyborgsDrugs and TherapiesEmerging TechnologiesHealth a nd MedicineMachine LearningRadiotherapyTherapy
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