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.
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 : Targeting immunological pathways in Behcet's uveitis
Hashim Butt, Bolton Royal Hospital, United Kingdom
Title : Lumevoq gene therapy in leber hereditary optic neuropathy
Magali Taiel, GenSight Biologics, France
Title : The effect of low hypermetropia correction and office-based orthoptic training on binocular vision parameters in children with convergence insufficiency
Agnieszka Rosa, Orticus Center for the Treatment of Strabismus and Vision Disorders, Poland
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