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Automated Detection of Central Retinal Artery Occlusion Using OCT Imaging via Explainable Deep Learning.
Ophthalmol Sci
October 2024
Department of Ophthalmology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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.
Diagnostic ability of confocal scanning ophthalmoscope for the detection of concurrent retinal disease in eyes with asteroid hyalosis.
PLoS One
December 2024
Department of Ophthalmology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea.
Article Synopsis
- * Researchers analyzed medical records of 100 eyes with AH, finding that 76 had other retinal diseases; TC-cSO showed the best results, with 94% of images having minimal obscuration from asteroid bodies.
- * TC-cSO outperformed the other devices in accuracy (95%) and sensitivity (81%) for diagnosing retinal conditions, making it an effective alternative for screening when
Ocular Pharmacokinetics of Faricimab Following Intravitreal Administration in Patients With Retinal Disease.
Transl Vis Sci Technol
November 2024
Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland.
Purpose: To characterize faricimab ocular and systemic pharmacokinetics (PK) in patients with neovascular age-related macular degeneration (nAMD) or diabetic macular edema (DME) and to assess the effect of faricimab ocular exposure on clinical endpoints.
Methods: A population PK (popPK) model was developed using pooled data from phase 1 to 3 studies in patients with nAMD/DME. The dataset included 1095 faricimab aqueous humor (AH) concentrations from 284 patients and 8372 faricimab plasma concentrations from 2246 patients.
Background: Dry age-related macular degeneration (AMD) is a retinal disease, which has been the third leading cause of vision loss. But current AMD classification technologies did not focus on the classification of early stage. This study aimed to develop a deep learning architecture to improve the classification accuracy of dry AMD, through the analysis of optical coherence tomography (OCT) images.
View Article and Find Full Text PDFIdentifiable Historic and Observable Factors May Predict Progression to Exfoliation Glaucoma in Newly Diagnosed Exfoliation Patients.
Ophthalmol Glaucoma
October 2024
Ophthalmology & Visual Sciences, University of Utah School of Medicine, Moran Eye Center, Salt Lake City, Utah.
Objective: To identify clinical factors associated with conversion to exfoliation glaucoma (XFG) in exfoliation syndrome (XFS) patients who are most at risk of progression to XFG within 3 years for increased surveillance and early preventive interventions.
Design: A retrospective patient cohort study design was employed.
Subjects: A source population of XFS patients ≥ 50 years was identified from electronic medical records in the Utah Population Database.
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