Recent studies utilized ocular images and deep learning (DL) to predict refractive error and yielded notable results. However, most studies did not address biases from imbalanced datasets or conduct external validations. To address these gaps, this study aimed to integrate Deep Imbalanced Regression (DIR) technique into ResNet and Vision Transformer models to predict refractive error from retinal photographs.
The findings could lead to a potential treatment for a common cause of blindness
Purpose To compare clinical outcomes of transepithelial photorefractive keratectomy (t-PRK) and conventional epithelium-off PRK (PRK) in patients with high compound myopic astigmatism. Methods Sixty eyes…
Learn about Glaucoma, Glaucoma signs and symptoms, and how to prevent blindness from Gluacoma
Wills Eye Resident Series : A patient presents with decreased vision after an injury , p. 62 medicare Q & A 2024 Reimbursement Update Wills…
To analyze endophthalmitis characteristics and risks following a 25-gauge vitrectomy or microincision vitrectomy surgery (MIVS).
In the past few years, accommodating IOLs (AccIOLs) have progressed through design, validation, and human trials with variable results. As surgeons, we must reexamine the fundamentals…
NEW YORK — In this presentation from OSN New York, Uday Devgan, MD, of Devgan Eye Surgery, uses surgical footage to demonstrate how to resolve…
American Academy of Ophthalmology suggest that lifestyle choices may help minimize the risk of losing vision to glaucoma.
To investigate genetic variants associated with a history of glaucoma surgery in Japanese patients with POAG. Methods: Japanese patients with POAG (n = 468), including…
The company also released additional data from its phase 2 clinical trial in addition to the LONGITUDE program design.
