Artificial Intelligence in Eye Care
Recent advancements in artificial intelligence are transforming the detection of neuro-ophthalmic disorders. AI technology now enables the detection of conditions such as Idiopathic Intracranial Hypertension (IIH) and Non-Arteritic Anterior Ischemic Optic Neuropathy (NAION) using just a single fundus image. This breakthrough significantly enhances diagnostic accuracy and efficiency in clinical settings.
By employing deep learning algorithms, researchers can now differentiate between normal eyes and those affected by IIH or NAION. This development not only boosts the potential for early diagnosis but also opens up new avenues for patient management and care. The integration of such technology in ophthalmology could pave the way for more personalized treatment approaches and better patient outcomes.
