Baseline factors predicting the risk of conversion from ocular hypertension to primary open-angle glaucoma during a 10-year follow-up

Severity of Glaucoma at First Presentation to Hospital Eye Services

“…The role of a high IOP and thinner CCT as risk factors in the development of glaucoma are well established however, we found no association between CCT or IOP and late presentation [11,12]. This is somewhat surprising as one might expect eyes with lower IOP to present late due to the historical emphasis placed on raised IOP in glaucoma case finding.…”

Severity of Glaucoma at First Presentation to Hospital Eye Services

“…The role of a high IOP and thinner CCT as risk factors in the development of glaucoma are well established however, we found no association between CCT or IOP and late presentation [11,12]. This is somewhat surprising as one might expect eyes with lower IOP to present late due to the historical emphasis placed on raised IOP in glaucoma case finding.…”

A deep-learning system predicts glaucoma incidence and progression using retinal photographs

“…In this study, our AI model showed excellent glaucoma diagnostic performance on CFPs, including photographs captured with smartphone cameras using an adaptor, which could significantly broaden its application at a point-of-care setting. Compared with traditional statistical models ( 30 – 33 ), such as glaucoma probability score and Moorfields regression analysis, several studies using deep-learning models achieved comparable or even better predictive performance ( 25 – 27 ). Thakur et al developed AI models to predict glaucoma development approximately 1 to 3 years before clinical onset and achieved a highest AUROC of 0.88 ( 25 ).…”

Clinical Audit on the Effectiveness of Clinic-Based Intraocular Pressure Phasing for Patients With Glaucoma and Glaucoma Suspect

“…However, based on this audit, confirmation of diagnosis for OHT and NTG was achieved in all cases. Serial IOP measurement is essential for cases with OHT and NTG [ 11 , 25 , 26 ]. The sensitivity and specificity of this method are not the main aims of this audit.…”

Severity of Glaucoma at First Presentation to Hospital Eye Services

“…The role of a high IOP and thinner CCT as risk factors in the development of glaucoma are well established however, we found no association between CCT or IOP and late presentation [11,12]. This is somewhat surprising as one might expect eyes with lower IOP to present late due to the historical emphasis placed on raised IOP in glaucoma case finding.…”

A deep-learning system predicts glaucoma incidence and progression using retinal photographs

“…In this study, our AI model showed excellent glaucoma diagnostic performance on CFPs, including photographs captured with smartphone cameras using an adaptor, which could significantly broaden its application at a point-of-care setting. Compared with traditional statistical models ( 30 – 33 ), such as glaucoma probability score and Moorfields regression analysis, several studies using deep-learning models achieved comparable or even better predictive performance ( 25 – 27 ). Thakur et al developed AI models to predict glaucoma development approximately 1 to 3 years before clinical onset and achieved a highest AUROC of 0.88 ( 25 ).…”

Clinical Audit on the Effectiveness of Clinic-Based Intraocular Pressure Phasing for Patients With Glaucoma and Glaucoma Suspect

“…However, based on this audit, confirmation of diagnosis for OHT and NTG was achieved in all cases. Serial IOP measurement is essential for cases with OHT and NTG [ 11 , 25 , 26 ]. The sensitivity and specificity of this method are not the main aims of this audit.…”

Severity of Glaucoma at First Presentation to Hospital Eye Services

“…The role of a high IOP and thinner CCT as risk factors in the development of glaucoma are well established however, we found no association between CCT or IOP and late presentation [11,12]. This is somewhat surprising as one might expect eyes with lower IOP to present late due to the historical emphasis placed on raised IOP in glaucoma case finding.…”

A deep-learning system predicts glaucoma incidence and progression using retinal photographs

“…In this study, our AI model showed excellent glaucoma diagnostic performance on CFPs, including photographs captured with smartphone cameras using an adaptor, which could significantly broaden its application at a point-of-care setting. Compared with traditional statistical models ( 30 – 33 ), such as glaucoma probability score and Moorfields regression analysis, several studies using deep-learning models achieved comparable or even better predictive performance ( 25 – 27 ). Thakur et al developed AI models to predict glaucoma development approximately 1 to 3 years before clinical onset and achieved a highest AUROC of 0.88 ( 25 ).…”

Clinical Audit on the Effectiveness of Clinic-Based Intraocular Pressure Phasing for Patients With Glaucoma and Glaucoma Suspect

“…However, based on this audit, confirmation of diagnosis for OHT and NTG was achieved in all cases. Serial IOP measurement is essential for cases with OHT and NTG [ 11 , 25 , 26 ]. The sensitivity and specificity of this method are not the main aims of this audit.…”