1. Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models

    Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models

    Glaucoma is the second leading cause of blindness worldwide.1 Primary open angle glaucoma (POAG), the most common variety, is defined as a progressive neurodegenerative disease of the retinal ganglion cells with characteristic features of the optic disc, usually accompanied by corresponding visual field (VF) defects, with or without elevated intraocular pressure (IOP).2 Although the exact etiology is still poorly understood, the most prevalent theories pertain to elevated IOP (mechanical), inherent poor blood flow to the optic nerve (vascular), or a combination of both.3 Multifactorial risk factors for glaucoma include increasing age, elevated IOP, Black race, family history ...

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