Manuscript Topics

A special issue is now available for submissions titled “Digital Eye Care and Tele-ophthalmology”. All submitted articles that are accepted will be published free of charge without APC.

This Special Issue aims to provide updated information including original biomedical engineering, clinical and laboratory research regarding the diagnosis and treatment of diabetic eye disease, fundus imaging and tele-ophthalmology. Researchers in this field are encouraged to submit an original article or review to this Special Issue.

Diabetes can cause several eye complications, including: retinopathy, scotoma macular edema, cataracts and retinal vascular diseases. Treatments for diabetic eye disease are being advanced including laser therapy, vitrectomy, eye injection and systemic drugs for hyperglycemia.

Recent advances in ophthalmology technologies and imaging modality include wide-field fundus cameras, optical coherence tomography (OCT), OCT angiography, smart devices for point-of-care testing (POCT) and portable retinal cameras. These technologies are progressing rapidly.

There is continual need to develop further innovation and potential new therapies, minimally invasive treatments, and sustainable methods of treatment to prevent eye conditions and diseases.

Your contributions to this special issue will help deliver innovations to the forefront of healthcare's technological and data revolution. We invite researchers, practitioners, educators, and policymakers to contribute your innovative insights to this special collection.

We welcome submissions to this special issue which can help to shape the role of technological advances in ophthalmology, incliding Data Science and AI for ophthalmology, Digital processing for eye care, Classification and processing of fundus retinal images. This special issue aims to contribute to improving clinical care, and realising benefits to patients, health services and wider society.

Papers are invited in the following (but not limited to) areas:
• Data Science and AI for ophthalmology
• Ophthalmology digital tools and innovation
• Digital processing for eye care
• Classification and processing of fundus retinal images
• Eye Imaging using evolutionary computation
• Medical retinal (fundus) image analysis
• Modelling and simulation of retinal and ophthalmology conditions
• Simulation of blind spots and scotoma
• Ophthalmic image processing with AI
• Patient-centric eye process modelling
• Biomedical data science for retinal imaging
• Medical AI for fundus image classification

Keywords: Diabetic retinopathy; Tele-ophthalmology; Artificial Intelligence; Fundus images

Instruction for Authors
http://aimspress.com/aimsmeds/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/