Prediction of vitreomacular traction syndrome outcomes with deep learning: A pilot study.

Purpose: To investigate the potential of an Optical Coherence Tomography (OCT) based Deep-Learning (DL) model in the prediction of Vitreomacular Traction (VMT) syndrome outcomes.

Design: A single-centre retrospective review.

Methods: Records of consecutive adult patients attending the Royal Adelaide Hospital vitreoretinal clinic with evidence of spontaneous VMT were reviewed from January 2019 until May 2022.

Real-world outcomes of low-dose atropine therapy on myopia progression in an Australian cohort during the COVID-19 pandemic.

Background: To report the outcomes of low-dose atropine (0.01% and 0.05%) for preventing myopia progression in a real-world Australian cohort during the COVID-19 pandemic.

Distinguishing laboratory characteristics in giant cell arteritis: a real-world retrospective cohort study.

Background: Untreated Giant Cell Arteritis (GCA) has the potential to cause serious complications such as vision loss. Appropriate initial assessment by General Practitioners, early treatment and specialist referral are therefore essential in reducing morbidity. However, lack of awareness around the range of presentations can lead to a delay in diagnosis.

Functional epiphora: an under-reported entity.

Purpose: To determine the etiology of epiphora in a tertiary Australian lacrimal clinic and highlight the high proportion of 'functional' cases.

Methods: Single-center retrospective review: Records of adult patients presenting to a tertiary lacrimal clinic from January 2011 to February 2021 with epiphora were reviewed. Patients underwent testing with syringing/probing and lacrimal imaging to reach a diagnosis of functional epiphora.