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In order to book these seminars, you must be registered to attend 100% Ophthalmology.
Sponsored by:
In order to book these seminars, you must be registered to attend 100% Ophthalmology.
Sponsored by:
Sponsored by:
Sponsored by:
Sponsored by:
Sponsored by:
Sponsored by:
Sponsored by:
This presentation highlights the difficulties imposed by high myopia in differentiating between a healthy, highly myopic optic nerve and myopic glaucomatous neuropathy due to the unique morphological features of the myopic disc, the limitations in current spectral domain OCT and automated perimetry, and the comparatively poor representation of higher negative refractive errors in the database of these technologies. The session will evidence associations between glaucoma, axial elongation and refractive error as a consequence of weakening of the lamina cribrosa collagen support, scleral remodelling in the posterior pole and biomechanical changes in corneal hysteresis that occur as a result of a drive towards high myopia. The lecture then offers several tips and clinical pearls to overcome these obstacles and facilitate accurate assessment, diagnosis and differentiation between the two conditions. This topic is pertinent due to the significant increase in the prevalence of myopia and high myopia, which is predicted to worsen in the near future.
As AI continues to evolve in healthcare, its role in ophthalmology workflows is becoming increasingly valuable. This session will explore how AI-powered tools can assist ophthalmologists in automating image upload and processing, identifying at-risk patients and optimising clinical decision-making. Through real-world examples and evidence-based insights, we will discuss:
The role of AI in enhancing workflows for ophthalmologists
Automated data integration from imaging devices to AI-powered tools to improve efficiency
How AI can assist in identifying and triaging patients at risk for AMD, including GA
The value of AI in monitoring disease progression and treatment outcomes with comprehensive biomarker analysis
How AI can help you automate data processes, refine patient selection, to ultimately maximise practice efficiency and profitability.
By integrating AI into daily practice, physicians can streamline workflows, improve early disease detection, and enhance patient management while maintaining efficiency in busy clinical settings. This session will provide insights into how AI can seamlessly be implemented to support professionals in retinal disease management.
This session will discuss the causes and symptoms associated with floaters, outlining where treatment is warranted and the options available. Treatment is particularly relevant with the increasing use of premium intraocular lenses.
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