Nazli Tokatli
Istanbul Health and Technology University
About the AI and Digital Ophthalmology Session
AI and Digital Ophthalmology examines how artificial intelligence, data science, telemedicine, and connected technologies are transforming eye care. The session includes machine learning, automated screening, image analysis, clinical decision support, remote monitoring, digital workflows, health-data integration, and responsible implementation of emerging digital tools.
Abstract Scope and Participation
Abstracts may cover AI algorithms, machine learning, automated diagnostics, teleophthalmology, digital platforms, predictive modeling, clinical validation, implementation, ethics, and responsible AI. Ophthalmologists, data scientists, engineers, researchers, clinicians, technology developers, and digital-health professionals are invited to contribute.
Topics Covered in AI and Digital Ophthalmology
Topic 01
Artificial Intelligence
Topic 02
Machine Learning
Topic 03
Automated Screening
Topic 04
Teleophthalmology
Topic 05
Clinical Decision Support
Topic 06
Digital Eye Health
Featured Speakers — AI and Digital Ophthalmology 2027
Recent Research Presented at AI and Digital Ophthalmology Sessions
Deep learning-based glaucoma classification from fundus images: Comparative analysis of CNN architectures
Glaucoma represents a leading cause of irreversible blindness worldwide, characterized by progressive optic nerve damage that often progresses asymptomatically until significant vision loss occurs.…
Evaluating the quality and readability of AI generated ophthalmic surgery education: A four model comparison
Background: Artificial Intelligence (AI) tools, particularly Large Language Models (LLMs), are increasingly utilised to provide health information, with patients seeking simplified explanations of…
RetinX an AI powered platform for automated detection and monitoring of ocular and systemic diseases
The rising global burden of vision-threatening conditions highlights the need for scalable, accessible, and accurate screening tools. RetinX is an AI-powered mobile application developed to address…
Automating glaucoma surveillance a biomarker driven deep learning framework for the glaucoma detection and progression using retinal fundus images
Background: Glaucoma, the leading cause of irreversible blindness, demands early diagnosis and consistent monitoring, which remain difficult due to the subjectivity of traditional assessments.…
Evaluating ConvNeXt tiny for multi class diabetic retinopathy detection benchmarking a next generation convolutional architecture against established CNN baselines
Background: Most deep learning systems for Diabetic Retinopathy (DR) screening rely on architectures such as ResNet and EfficientNet, with recent attention shifting towards transformer-based models.…
Ethical implications of big data and AI in ophthalmology: Addressing inequities in data access, treatment availability, and early detection of diabetic retinopathy
Introduction: Big Data and AI are transforming ophthalmology, particularly in the early detection of Diabetic Retinopathy (DR). Leveraging vast datasets and machine learning, these technologies…
Related Scientific Sessions at IOC 2027
Why Attend the AI and Digital Ophthalmology Conference 2027
Earn CPD Credit
Sessions are CPD-accredited by The CPD Group (UK) — one CPD credit for every hour of attendance.
Present Your Research
Oral and poster slots for original AI and Digital Ophthalmology work, reviewed by the scientific committee.
Network Globally
Meet ophthalmologists, vision scientists, and eye-care clinicians from around the world across three days.
Publish & Get Indexed
Accepted abstracts are compiled into the conference proceedings and indexed in Scopus and Web of Science.
Learn from Keynotes
Plenary lectures from leading voices shaping AI and Digital Ophthalmology research and practice.
Hybrid Flexibility
Attend in person in Singapore or join virtually — same programme, same certificate.
Join IOC 2027 for the AI and Digital Ophthalmology track
Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.
AI and Digital Ophthalmology Conference 2027 — FAQs
What is the AI and Digital Ophthalmology track at IOC 2027?
The AI and Digital Ophthalmology track is a dedicated stream within IOC 2027 covering the latest research, clinical innovation, and best practice in AI and Digital Ophthalmology. It brings together researchers, educators, and practitioners for oral presentations, posters, and discussion.
Who should attend the AI and Digital Ophthalmology sessions?
Ophthalmologists, optometrists, vision scientists, educators, doctoral students, and trainees with an interest in AI and Digital Ophthalmology are all welcome — whether presenting or attending.
Can I present my research in the AI and Digital Ophthalmology track?
Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.
Is virtual attendance available for AI and Digital Ophthalmology sessions?
Yes. IOC 2027 is a hybrid conference — attend the AI and Digital Ophthalmology track in person in Singapore or join live online, with on-demand access afterward.
Join the IOC 2027 delegation
Singapore · March 15–17, 2027· Hybrid · in-person & virtual
Register as Delegate →
Attend without presenting.