Advanced Digital Technology and Artificial Intelligence in Ophthalmology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 1058
Special Issue Editors
2. Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 05030, Republic of Korea
3. Institute of Biomedical Science & Technology, Konkuk University, Seoul 05030, Republic of Korea
Interests: ophthalmology; artificial intelligence; 3D printing
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical engineering; medical sensors; printed electronics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Ophthalmology stands at the forefront of medical fields embracing digital transformation and AI. The advent of AI has revolutionized various aspects of eye care, from diagnostic imaging and disease prediction to personalized treatment plans and telemedicine. This Special Issue aims to compile a diverse array of studies, reviews, and perspectives that highlight the multifaceted applications of AI and digital technology in enhancing ophthalmic practice and patient outcomes.
Topics of interest for this Special Issue include, but are not limited to:
- AI-driven diagnostic tools for retinal diseases, glaucoma, and other ocular conditions.
- Machine learning algorithms for image analysis and interpretation in ophthalmology.
- The role of teleophthalmology in expanding access to eye care.
- Innovations in digital health records and data management in ophthalmology.
- Personalized medicine and predictive analytics in eye care.
- Ethical considerations and regulatory challenges in the adoption of AI in ophthalmology.
- Case studies showcasing successful implementation of digital technology in ophthalmic practice.
We seek submissions that provide new insights, propose novel methodologies, and demonstrate the practical applications of digital technology and AI in ophthalmology. Our goal is to create a comprehensive resource that not only highlights the current state of the field but also identifies future directions and opportunities for research and clinical practice. We encourage authors to present interdisciplinary approaches and collaborative efforts that bridge the gap between technology and clinical application. Through this Special Issue, we hope to foster a deeper understanding of how digital technology and AI can transform ophthalmology, ultimately leading to improved patient care and outcomes.
We look forward to your valuable contributions to this exciting and timely Special Issue.
Dr. Hyun Jin Shin
Dr. Hyunkyoo Kang
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- artificial intelligence in ophthalmology
- digital health technologies
- teleophthalmology
- ophthalmic imaging
- machine learning in eye care
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