Machine learning models can assist in predicting patients at risk of postoperative hyperopic shift. Machine learning models can predict the risk of hyperopic shift (HS) after phacoemulsification ...

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Ophthalmologists discuss how advanced imaging, MIGS, and home monitoring are reshaping decision-making in complex glaucoma cases. Glaucoma continues to challenge clinicians as one of the world’s ...

Abstract: Glaucoma, a leading cause of irreversible vision loss, gradually deteriorates the optic nerve, making early detection crucial to prevent further visual impairment. Electroretinography (ERG) ...

Machine learning (ML) outperforms human graders for diagnosing glaucoma. HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the ...

FRIDAY, Oct. 24, 2025 (HealthDay News) -- Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of ...

Human and machine learning vertical cup-disc-ratio explained 17 and 31 percent of glaucoma status variance in right eye, 20 and 35 percent of variance in left eye ...

1 Department of Management Science and Engineering, Stanford University, Stanford, CA, United States 2 Department of Ophthalmology, Byers Eye Institute, Stanford University, Stanford, CA, United ...

While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...