Robotics & Machine Learning Daily News2024,Issue(Mar.6) :41-42.

Department of Ophthalmology Reports Findings in Artificial Intelligence (ASSOCIA TION OF TESSELLATION DENSITY WITH PROGRESSION OF AXIAL LENGTH AND REFRACTION IN CHILDREN: An Artificial Intelligence-Assisted 4-Year Study)

Robotics & Machine Learning Daily News2024,Issue(Mar.6) :41-42.

Department of Ophthalmology Reports Findings in Artificial Intelligence (ASSOCIA TION OF TESSELLATION DENSITY WITH PROGRESSION OF AXIAL LENGTH AND REFRACTION IN CHILDREN: An Artificial Intelligence-Assisted 4-Year Study)

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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 Kunming, People's Republic of China, by NewsRx journalists, research stated, "To investigate fund us tessellation density (TD) and its association with axial length (AL) elongati on and spherical equivalent (SE) progression in children. The school-based prosp ective cohort study enrolled 1,997 individuals aged 7 to 9 years in 11 elementar y schools in Mojiang, China." Financial supporters for this research include Yunnan Province young and middle- aged academic and technical leaders reserve Talents Project, Basic Research Prog ram of Yunnan Province, Yunnan Province High-level Talent Training Support Progr am special famous doctors, Construction of a 3D digital intelligent prevention a nd control platform for the whole life cycle of highly myopic patients in the Ya ngtze River Delta, Project of Shanghai Xuhui District Science and Technology, Pr oject of Shanghai Xuhui District Science and Technology, Shanghai Rising-Star Pr ogram, Shanghai Yangfan Project, National Natural Science Foundation of China, N ational Natural Science Foundation of China, Natural Science Foundation of Shang hai.

Key words

Kunming/People's Republic of China/Asi a/Artificial Intelligence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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