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Innovations in diabetic retinopathy screening in the UK.
Lancet Diabetes Endocrinol
January 2025
NIHR Moorfields Biomedical Research Centre, Medical Retina, Moorfields Eye Hospital, London, EC1V 2PD, UK. Electronic address:
Measurement of lacrimal gland tissue stiffness for the diagnosis of visual display terminal-associated dry eye disease using shear wave elastography.
Heliyon
July 2024
Department of Ultrasound, Laibin People's Hospital, Laibin, Guangxi, China.
Objective: This study aimed to evaluate whether lacrimal gland tissue stiffness can aid in diagnosing dry eye disease (DED) using shear wave elastography (SWE). We also aimed to assess the correlation between the subjective symptoms of ocular strain, SWE values, and other ocular examination findings (Schirmer's test and tear film breakup time [TBUT]) contributing to the diagnosis of DED.
Methods: This cross-sectional study recruited 300 participants who were engaged in video display terminal (VDT) work and had been diagnosed with DED by an ophthalmologist for more than one year, and 100 healthy participants without DED symptoms, from August 2020 to December 2021.
Automated analysis for glaucoma screening of retinal videos acquired with smartphone-based ophthalmoscope.
Heliyon
July 2024
D-Eye Srl, Padova, 35131, Italy.
Widespread screening is crucial for the early diagnosis and treatment of glaucoma, the leading cause of visual impairment and blindness. The development of portable technologies, such as smartphone-based ophthalmoscopes, able to image the optical nerve head, represents a resource for large-scale glaucoma screening. Indeed, they consist of an optical device attached to a common smartphone, making the overall device cheap and easy to use.
View Article and Find Full Text PDFUsing a deep learning model to predict postoperative visual outcomes of idiopathic epiretinal membrane surgery.
Am J Ophthalmol
January 2025
Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address:
Purpose: This study assessed the performance of various deep learning models in predicting the postoperative outcomes of idiopathic epiretinal membrane (ERM) surgery based on preoperative optical coherence tomography (OCT) images.
Design: Validation of algorithms to predict the outcomes of ERM surgery based on OCT data.
Methods: Internal training and validation were performed using 1,392 OCT images from 696 eyes.
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