Revolutionizing Vision Care: The Role of AI in Modern Ophthalmology Practice
Artificial Intelligence (Ai) in Ophthalmology Practice
Some of the common uses include –
- Diabetic Retinopathy Detection
- Glaucoma diagnosis
- Myopia management
- Age-Related Macular Degeneration Management
- Corneal Diseases Management
AI-Powered Myopia Management:
With the high incidence of Myopia cases, we, at the Department of Ophthalmology, Good Living Medical Centre, our Eye Specialist, plan to manage cases of Myopia with the help of AI.
Clinical practice at our Centre’s Ophthalmology Department will include early screening for Myopia, identifying risk factors, and evaluating lifestyle, genetics, and environmental factors. In-clinic examinations will consist of cycloplegic or noncycloplegic refraction, visual acuity, binocular vision and accommodation testings, corneal topography, axial length, corneal curvature radius, and eye pressure.
Leveraging AI and Big Data: Enhancing Myopia Management and Patient Care at Good Living Medical Centre with Dr. Shabbir Saifuddin
With a large number of cases, large data will be generated. The quality and diversity of data collected could be of great significance for the further application of AI in the management of Myopia. This will help in practical considerations for integrating AI into clinic practice. This advancement will offer our Eye Specialist, Dr Shabbir Saifuddin, and his team a powerful tool for improving patient care and treatment.
"AI as a Tool, Not a Replacement: Enhancing Ophthalmologist Expertise for Superior Patient Care"
AI technology cannot replace humanistic care, and no one asserts that we should let algorithms manage our patients. AI-driven healthcare enhances the expertise of ophthalmologists, empowering them to provide even better care for patients. Rather than replacing specialists, AI serves as a valuable tool, augmenting their skills and knowledge for more precise diagnoses and treatments.