Robotics & Machine Learning Daily News2024,Issue(Sep.26) :56-57.

First Affiliated Hospital of Sun Yat-sen University Reports Findings in Artifici al Intelligence (Enhancing trainee performance in obstetric ultrasound through a n artificial intelligence system: randomized controlled trial)

Robotics & Machine Learning Daily News2024,Issue(Sep.26) :56-57.

First Affiliated Hospital of Sun Yat-sen University Reports Findings in Artifici al Intelligence (Enhancing trainee performance in obstetric ultrasound through a n artificial intelligence system: randomized controlled trial)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Guangdong, People ’s Republic of China, by NewsRx journalists, research stated, “Performing obstet ric ultrasound scans is challenging for inexperienced operators; therefore, the prenatal screening artificial intelligence system (PSAIS) software was developed to provide real-time feedback and guidance for trainees during their scanning p rocedures. The aim of this study was to investigate the potential benefits of ut ilizing such an artificial intelligence system to enhance the efficiency of obst etric ultrasound training in acquiring and interpreting standard basic views.” Financial support for this research came from National Key Research and Developm ent Program of China.

Key words

Guangdong/People’s Republic of China/A sia/Artificial Intelligence/Emerging Technologies/Health and Medicine/Machin e Learning/Obstetrics/Women’s Health

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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