4th Edition of
International Ophthalmology Conference
March 23-25, 2026 | Singapore
Innovations in Ophthalmic Imaging and Diagnostics
Ophthalmic imaging technology has made significant strides, fundamentally transforming the diagnosis and management of eye diseases. Innovations in ophthalmic imaging and diagnostics now include advanced techniques such as OCT angiography, adaptive optics, and fundus autofluorescence. These technologies provide unparalleled detail, enabling clinicians to detect early signs of conditions like diabetic retinopathy, glaucoma, and macular degeneration. By offering high-resolution imaging of the retina and optic nerve, these tools not only improve diagnostic accuracy but also allow for better disease monitoring over time. As artificial intelligence and machine learning continue to be integrated into these imaging systems, the potential for faster, more accurate diagnoses and more personalized treatment plans is expanding, making early intervention and improved patient outcomes more achievable than ever before.
Shadrokh Nabili
University Hospitals of Morecambe Bay NHS Foundation Trust, United Kingdom
Anna Maria Bassi
University of Genoa, Italy
Tim Jackson
King’s College London, United Kingdom
Pio Conti
University of Chieti, Italy
Gowhar Ahmad
Florence Hospital Srinagar, India
Agnieszka Rosa
Orticus Center for the Treatment of Strabismus and Vision Disorders, Poland
Arrane Selvamogan
Leicestershire Partnership NHS Trust, United KingdomSubmit your abstract Today
Title : Rare and interesting case of Goldenhar’s syndrome in a 3 years old male child
Gowhar Ahmad, Florence Hospital Srinagar, India
Title : Management of common vitreoretinal lesions: An overview and update
Tim Jackson, King’s College London, United Kingdom
Title : Lumevoq gene therapy in leber hereditary optic neuropathy
Magali Taiel, GenSight Biologics, France
Title : An advanced 3D human-based in vitro model to identify disease-specific molecular markers of glaucoma neurodegeneration
Anna Maria Bassi, University of Genoa, Italy
Title : Evaluating the quality and readability of AI chatbot responses to frequently asked questions on basal cell carcinoma: Implications for patient education and digital health communication
Arrane Selvamogan, Leicestershire Partnership NHS Trust, United Kingdom
Title : Evaluating the quality and readability of AI-generated ophthalmic surgery education: A four-model comparison
Arrane Selvamogan, Leicestershire Partnership NHS Trust, United Kingdom