Yuzhong Chen

Beijing, China

Last Updated: 09/26/2026

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Found 12 publications

Screening cognitive impairment in patients with atrial fibrillation: A deep learning model based on retinal fundus photographs.

Screening cognitive impairment in patients with atrial fibrillation: A deep learning model based on retinal fundus photographs.

Journal: Heart rhythm O2
Published: June 11, 2025

Development and evaluation of a deep learning system for screening real-world multiple abnormal findings based on ultra-widefield fundus images.

Development and evaluation of a deep learning system for screening real-world multiple abnormal findings based on ultra-widefield fundus images.

Journal: Frontiers in medicine
Published: February 27, 2025

ASSOCIATION OF TESSELLATION DENSITY WITH PROGRESSION OF AXIAL LENGTH AND REFRACTION IN CHILDREN: An Artificial Intelligence-Assisted 4-Year Study.

ASSOCIATION OF TESSELLATION DENSITY WITH PROGRESSION OF AXIAL LENGTH AND REFRACTION IN CHILDREN: An Artificial Intelligence-Assisted 4-Year Study.

Journal: Retina (Philadelphia, Pa.)
Published: November 16, 2023

Potential Choroidal Mechanisms Underlying Atropine's Antimyopic and Rebound Effects: A Mediation Analysis in a Randomized Clinical Trial.

Potential Choroidal Mechanisms Underlying Atropine's Antimyopic and Rebound Effects: A Mediation Analysis in a Randomized Clinical Trial.

Journal: Investigative ophthalmology & visual science
Published: April 12, 2023

Development and validation of a semi-supervised deep learning model for automatic retinopathy of prematurity staging.

Development and validation of a semi-supervised deep learning model for automatic retinopathy of prematurity staging.

Journal: iScience
Published: March 20, 2023

Application of artificial intelligence system for screening multiple fundus diseases in Chinese primary healthcare settings: a real-world, multicentre and cross-sectional study of 4795 cases.

Application of artificial intelligence system for screening multiple fundus diseases in Chinese primary healthcare settings: a real-world, multicentre and cross-sectional study of 4795 cases.

Journal: The British journal of ophthalmology
Published: November 18, 2022

DeepFundus: A flow-cytometry-like image quality classifier for boosting the whole life cycle of medical artificial intelligence.

DeepFundus: A flow-cytometry-like image quality classifier for boosting the whole life cycle of medical artificial intelligence.

Journal: Cell reports. Medicine
Published: June 21, 2022

Development and validation of a deep learning algorithm based on fundus photographs for estimating the CAIDE dementia risk score.

Development and validation of a deep learning algorithm based on fundus photographs for estimating the CAIDE dementia risk score.

Journal: Age and ageing
Published: May 27, 2022

Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases.

Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases.

Journal: JAMA network open
Published: May 03, 2022

Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs.

Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs.

Journal: Eye (London, England)
Published: March 12, 2022

Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China.

Deep learning algorithm using fundus photographs for 10-year risk assessment of ischemic cardiovascular diseases in China.

Journal: Science bulletin
Published: July 16, 2021

Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study.

Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study.

Journal: The Lancet. Digital health
Published: November 17, 2020
Showing 1-12 of 12

Last Updated: 09/26/2026