Apolo Aroca Galo

2 articles in GJC

Automated expert-level scleral spur detection and quantitative biometric analysis on the ANTERION anterior segment OCT system.

Bolo Kyle, Apolo Aroca Galo, Pardeshi Anmol A, Chiang Michael, Burkemper Bruce, Xie Xiaobin et al.

Br J OphthalmolMay 202415 citationsObservational Study

Deep learning algorithms on ANTERION AS-OCT accurately detect the scleral spur, outperforming human graders. This enhances angle closure assessment and IOL calculations, improving clinical utility.

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Generalisability and performance of an OCT-based deep learning classifier for community-based and hospital-based detection of gonioscopic angle closure.

Randhawa Jasmeen, Chiang Michael, Porporato Natalia, Pardeshi Anmol A, Dredge Justin, Apolo Aroca Galo et al.

Br J OphthalmolOct 202122 citationsObservational Study

An OCT deep learning classifier consistently detected angle closure across diverse populations, showing strong agreement with human examiners. This tool could aid ophthalmologists in assessing angle status.

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Apolo Aroca Galo

Automated expert-level scleral spur detection and quantitative biometric analysis on the ANTERION anterior segment OCT system.

Generalisability and performance of an OCT-based deep learning classifier for community-based and hospital-based detection of gonioscopic angle closure.