Journal of Diabetes Research

Molecular and Imaging Biomarkers and Artificial Intelligence in Diabetic Retinopathy


Publishing date
01 Jan 2022
Status
Closed
Submission deadline
03 Sep 2021

Lead Editor

1Guangdong Provincial People's Hospital, Guangzhou, China

2The First Affiliated Hospital of China Medical University, Shenyang, China

3Aier School of Ophthalmology, Changsha, China

4Sun Yat-sen University, Guangzhou, China

5Central South University, Changsha, China

6University of Melbourne, Melbourne, Australia

This issue is now closed for submissions.
More articles will be published in the near future.

Molecular and Imaging Biomarkers and Artificial Intelligence in Diabetic Retinopathy

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Diabetes mellitus (DM) is a major systemic disorder, imposing a huge global social-economical burden. Ocular complications such as diabetic retinopathy (DR) are common in DM patients, which can lead to severe visual impairment. Early diagnosis and proper management of DR is important for preventing visual impairment in DM patients. There is an urgent need for indicators to predict the occurrence, progression, and treatment outcomes of DR. DR biomarkers – both imaging and molecular – may reshape our understanding of the pathogenesis of the disease and are also particularly useful for early detection and prognosis prediction of DR. Although some imaging and molecular biomarkers of DR have been proposed, the journey of finding new and better biomarkers will continue.

In recent years, artificial intelligence (AI) has been implemented into the management of ocular diseases. AI techniques are capable of accurate diagnosis and outcome prediction and can be used to explore imaging and molecular biomarkers of DR, in addition to helping refine DR management strategies.

In this Special Issue, original research and review articles about imaging and molecular biomarkers and AI in DR are welcome. We aim to summarize the latest advancements in clinical studies or reviews on imaging and molecular biomarkers related to the diagnosis, progression, and treatment outcomes of DR, and the application of AI techniques in clinical research in DR.

Potential topics include but are not limited to the following:

  • Systemic and ocular molecular biomarkers of DR in biological samples, such as blood, intraocular fluid, or tears
  • Multimodal retinal imaging biomarkers of DR
  • Optical coherence tomography/optical coherence tomography angiography in the diagnosis and management of DR
  • Correlation and interaction between imaging and molecular biomarkers of DR
  • Application of AI techniques, such as machine learning and deep learning, in automated screening/diagnosis/prognosis prediction of DR
  • Exploration of DR biomarkers using AI techniques and big data analysis

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 4663221
  • - Research Article

Causes and Risk Factors of Repeated Hospitalization among Patients with Diabetic Retinopathy

Yu Xiao | Yingying Liang | ... | Shuyi Ouyang
  • Special Issue
  • - Volume 2022
  • - Article ID 1193760
  • - Research Article

Pigment Epithelium-Derived Factor-Loaded PEGylated Nanoparticles as a New Antiangiogenic Therapy for Neovascularization

Feng Zhao | Wenlei Fei | ... | Lei Xi
  • Special Issue
  • - Volume 2022
  • - Article ID 5779276
  • - Research Article

Cross-Camera External Validation for Artificial Intelligence Software in Diagnosis of Diabetic Retinopathy

Meng-Ju Tsai | Yi-Ting Hsieh | ... | Min-Ling Chen
  • Special Issue
  • - Volume 2022
  • - Article ID 4612554
  • - Research Article

Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia

Yongan Meng | Hailei Lan | ... | Jing Luo
  • Special Issue
  • - Volume 2022
  • - Article ID 1516668
  • - Research Article

Investigation of Retinal Microcirculation in Diabetic Patients Using Adaptive Optics Ophthalmoscopy and Optical Coherence Angiography

Florian Baltă | Irina-Elena Cristescu | ... | Ioana Teodora Tofolean
  • Special Issue
  • - Volume 2022
  • - Article ID 8435603
  • - Research Article

Aqueous Level of ANGPTL4 Correlates with the OCTA Metrics of Diabetic Macular Edema in NPDR

Qing Xu | Chaoju Gong | ... | Suyan Li
  • Special Issue
  • - Volume 2022
  • - Article ID 7723706
  • - Research Article

Fluorescein Leakage and Optical Coherence Tomography Angiography Features of Microaneurysms in Diabetic Retinopathy

Ruoyu Chen | Anyi Liang | ... | Dan Cao
  • Special Issue
  • - Volume 2022
  • - Article ID 2552186
  • - Research Article

Serum Antithyroglobulin Antibody Levels Are Associated with Diabetic Retinopathy among Euthyroid Type 2 Diabetes Patients: A Hospital-Based, Retrospective Study

Xiaotong Gao | Xichang Wang | ... | Zhongyan Shan
  • Special Issue
  • - Volume 2021
  • - Article ID 2751695
  • - Research Article

Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy

Jui-En Lo | Eugene Yu-Chuan Kang | ... | Chi-Chun Lai
  • Special Issue
  • - Volume 2021
  • - Article ID 3033219
  • - Research Article

Choroidal Vascularity Index as a Biomarker for Visual Response to Antivascular Endothelial Growth Factor Treatment in Diabetic Macular Edema

Ningxin Dou | Shanshan Yu | ... | Xiaoling Liang
Journal of Diabetes Research
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.