Automated Detection of Central Retinal Artery Occlusion Using OCT Imaging via Explainable Deep Learning.

Objective: To demonstrate the capability of a deep learning model to detect central retinal artery occlusion (CRAO), a retinal pathology with significant clinical urgency, using OCT data.

Design: Retrospective, external validation study analyzing OCT and clinical baseline data of 2 institutions via deep learning classification analysis.

Subjects: Patients presenting to the University Medical Center Tübingen and the University Medical Center Hamburg-Eppendorf in Germany.

National review of end-of-life care withdrawal guidelines for non-invasive advanced respiratory support using document analysis.

Objectives: This study aims to understand the breadth of practice around end-of-life withdrawal of non-invasive advanced respiratory support (encompassing both continuous positive airway pressure and non-invasive ventilation) by analysing NHS-published guidelines and guidance for clinicians. This study seeks validity in the guidelines through a confluence of findings and reassurance of practice despite having little to no high-quality research to inform the content of the guidelines. Ultimately, where discordance is found between guidelines, there will be a strong mandate for future research.

Two-Year Results of XEN Gel Stent Implantation for Pseudoexfoliative Glaucoma in Phakic versus Pseudophakic Eyes.

: To investigate whether phakia affects the outcome of XEN-45 gel stent implantation in the treatment of pseudoexfoliative glaucoma (PXG). : A retrospective, comparative cohort study of 30 phakic and 55 pseudophakic PXG patients who received the XEN-45 gel stent at a tertiary centre. The primary outcome measure was two-year success defined as a ≥20% lowering of intraocular pressure (IOP) and a target IOP of 6-21 mmHg.