Artificial intelligence and deep learning in glaucoma: Current state and future prospects.

作者: Michaël J.A. Girard , Leopold Schmetterer

DOI: 10.1016/BS.PBR.2020.07.002

关键词: Deep learningGlaucoma screeningStructure and functionGlaucomaOPHTHALMIC DISORDERSArtificial intelligenceMedicineAxon loss

摘要: Over the past few years, there has been an unprecedented and tremendous excitement for artificial intelligence (AI) research in field of Ophthalmology; this naturally translated to glaucoma-a progressive optic neuropathy characterized by retinal ganglion cell axon loss associated visual defects. In review, we aim discuss how AI may have a unique opportunity tackle many challenges faced glaucoma clinic. This is because remains poorly understood with difficulties providing early diagnosis prognosis accurately timely fashion. short term, could also become game changer paving way first cost-effective screening campaigns. While are undeniable technical clinical ahead, more so than other ophthalmic disorders whereby already booming, strongly believe that specialists should embrace as companion their practice. Finally, review will remind ourselves complex group multitude physiological manifestations cannot yet be observed clinically. here stay, but it not only tool solve glaucoma.

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