An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms-Reference-Cited by-同舟云学术

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An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms

Published:2020-09 Issue: Volume:159 Page:104986
ISSN:1043-6618
Container-title:Pharmacological Research
language:en
Short-container-title:Pharmacological Research

Author:

Xie Qiwei,Liu Yanfei,Huang Hui,Hong Bei,Wang Jinxin,Han Hua,Liu Yue^ORCID

Funder

Special Project for Outstanding Young Talents of China Academy of Chinese Medical Sciences

Beijing NOVA Program

National Natural Science Foundation of China

Special Program of Beijing Municipal Science & Technology Commission

Strategic Priority Research Program, CAS

Bureau of International Cooperation, CAS

Publisher

Elsevier BV

Subject

Pharmacology

Reference28 articles.

1. The association of severe diabetic retinopathy with cardiovascular outcomes in long-standing type 1 diabetes: a longitudinal follow-up;Pongrac Barlovic;Diabetes Care,2018

2. Association of diabetic macular edema and proliferative diabetic retinopathy with cardiovascular disease: a systematic review and meta-analysis;Xie;JAMA Ophthalmol.,2017

3. Vascular complications of diabetes;Beckman;Circ. Res.,2016

4. Diabetes-associated retinal nerve fiber damage evaluated with scanning laser polarimetry;Takahashi;Am. J. Ophthalmol.,2006

5. The effect of fenofibrate on early retinal nerve fiber layer loss in type 2 diabetic patients: a case-control study;Shi;BMC Ophthalmol.,2018

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1. Detection of diabetic retinopathy using artificial intelligence: an exploratory systematic review;LatIA;2024-09-02

2. Graph partitioning algorithms with biological connectivity decisions for neuron reconstruction in electron microscope volumes;Expert Systems with Applications;2023-07

3. Diabetic vascular diseases: molecular mechanisms and therapeutic strategies;Signal Transduction and Targeted Therapy;2023-04-10

4. Expending the power of artificial intelligence in preclinical research: an overview;IOP Conference Series: Materials Science and Engineering;2022-09-01

5. Combined Channel Attention and Spatial Attention Module Network for Chinese Herbal Slices Automated Recognition;Frontiers in Neuroscience;2022-06-13

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