Challenges for Managing Glaucoma in the 21st Century

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biomedical Engineering and Biomaterials".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 663

Special Issue Editor


E-Mail Website
Guest Editor
Department of Ophthalmology, University of Texas Southwestern Medical Center, Dallas, TX, USA
Interests: ophthalmology; glaucoma; cataracts
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The features and symptoms of glaucoma have been documented back to early Egyptian, Indian, Greek, and Arabic medical texts. The Greek term (glaukos) and its Arabic translation (zarqaa) are probably the earliest terms used by astute clinicians to describe a painful or pain-free blind eye. Over the centuries, we have learned much from brilliant pioneers who used their observation and palpation powers to understand the disease, but total glaucoma control is still elusive.

The aim of the second special glaucoma issue is multifold. We are encouraging researchers to showcase their efforts, hypotheses, trials, and errors that one day may lead to a cure for glaucoma. This challenge calls for combining the knowledge and resources of clinicians treating patients with glaucoma and the genius of basic scientists working on neuropathology, neuro-regeneration, neuroimaging, genetics, bioengineering, material science, computer science, computer vision, artificial intelligence, neural networks, telemedicine, and neuropsychology.

Not only do we have to detect glaucoma early on, but the treatment plans must be tailored to individual patients with targeted therapies, minimally invasive glaucoma surgeries (MIGSs), restoring or maintaining vision on the one hand, and spreading awareness and prevention on the other.

Therefore, our second glaucoma issue will provide a forum for researchers worldwide to share their achievements, failures, and dreams for the future. We encourage scientists to submit their ideas for review and publication. Some of the glaucoma research topics we are interested in include improving early glaucoma diagnosis using artificial intelligence, genetics, large language models, neuroimaging, enhancing targeted medical and or surgical therapies, and innovative ideas to improve visual aids.

Dr. Karanjit S. Kooner
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • retinal imaging
  • artificial intelligence
  • minimally invasive glaucoma surgeries (MIGSs)
  • telemedicine
  • neuroimaging

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 2300 KiB  
Article
Automated Early-Stage Glaucoma Detection Using a Robust Concatenated AI Model
by Wheyming Song and Ing-Chou Lai
Bioengineering 2025, 12(5), 516; https://doi.org/10.3390/bioengineering12050516 - 13 May 2025
Viewed by 199
Abstract
Glaucoma is a leading cause of irreversible blindness worldwide; therefore, detection of this disease in its early stage is crucial. However, previous efforts to identify early-stage glaucoma have faced challenges, including insufficient accuracy, sensitivity, and specificity. This study presents a concatenated artificial intelligence [...] Read more.
Glaucoma is a leading cause of irreversible blindness worldwide; therefore, detection of this disease in its early stage is crucial. However, previous efforts to identify early-stage glaucoma have faced challenges, including insufficient accuracy, sensitivity, and specificity. This study presents a concatenated artificial intelligence model that combines two types of input features: fundus images and quantitative retinal thickness parameters derived from macular and peri-papillary retinal nerve fiber layer (RNFL) thickness measurements. These features undergo an intelligent transformation, referred to as “smart preprocessing”, to enhance their utility. The model employs two classification approaches: a convolutional neural network approach for processing image features and an artificial neural network approach for analyzing quantitative retinal thickness parameters. To maximize performance, hyperparameters were fine-tuned using a robust methodology for the design of experiments. The proposed AI model demonstrated outstanding performance in early-stage glaucoma detection, outperforming existing models; its accuracy, sensitivity, specificity, precision, and F1-Score all exceeding 0.90. Full article
(This article belongs to the Special Issue Challenges for Managing Glaucoma in the 21st Century)
Show Figures

Figure 1

Back to TopTop