Robotics & Machine Learning Daily News2024,Issue(Apr.9) :27-28.

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]

Robotics & Machine Learning Daily News2024,Issue(Apr.9) :27-28.

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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Abstract

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.”

Key words

Calgary/Canada/North and Central Ameri ca/Brachytherapy/Cyborgs/Drugs and Therapies/Emerging Technologies/Health a nd Medicine/Machine Learning/Radiotherapy/Therapy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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