HIGHLIGHTS
SUMMARY
Glaucoma is a leading cause of irreversible blindness, and it afflicts 76 million people worldwide in 2020, with a prevalence rate of 3.5%. As the diagnosis of glaucoma is heavily hinged upon images, the artificial_intelligence (AI) technique is expected to address some of these challenges. Many previous studies on AI in the field of ophthalmology targeted the reliability and success rate of AI technology, rather than the effect of cooperation between artificial_intelligence technology and doctors in clinical work. The aim of this study is to explore the application forms and scenarios of artificial_intelligence . . .
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