Introduction: Annual screening for hydroxychloroquine (HCQ) retinopathy is recommended, and electroretinography (ERG) is considered a gold-standard test, but there are screening shortfalls and standard ERG is burdensome and has limited availability. Newer, portable ERG devices using skin-based electrodes may increase screening capacity but need validation. This study aims to determine initial device accuracies and feasibility of further research.
View Article and Find Full Text PDFObjective: This study aims to conduct a systematic review and meta-analysis of the diagnostic accuracy of deep learning (DL) using speech samples in depression.
Materials And Methods: This review included studies reporting diagnostic results of DL algorithms in depression using speech data, published from inception to January 31, 2024, on PubMed, Medline, Embase, PsycINFO, Scopus, IEEE, and Web of Science databases. Pooled accuracy, sensitivity, and specificity were obtained by random-effect models.
Background: Neovascular age-related macular degeneration (nAMD) is a leading cause of blindness. The first-line therapy is anti-vascular endothelial growth factor (anti-VEGF) agents delivered by intravitreal injection. Ionising radiation mitigates key pathogenic processes underlying nAMD, and therefore has therapeutic potential.
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