
Articles
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22 hours ago |
healio.com | Justin Cooper
Key takeaways:Misuse of over-the-counter anticholinergics, antihistamines and decongestants is an easily overlooked eye health risk factor. Optometrists should ask patients about their use of over-the-counter drugs. MINNEAPOLIS — Over-the-counter medications can have easily overlooked impacts on eye health if not used appropriately, according to a speaker at Optometry’s Meeting.
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23 hours ago |
healio.com | Justin Cooper
Key takeaways: The first-time pass rate for the first part of the NBEO exam fell from 76.9% in 2015 to 66.71% in 2024. The exam’s average first-time pass rate was the lowest of all comparable exams. MINNEAPOLIS — Students pass the National Board of Examiners in Optometry exam at a “notably lower” rate than similar exams in other areas of health care, according to a poster presented at Optometry’s Meeting. The findings come from research that Jeffrey L.
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1 day ago |
healio.com | Justin Cooper
Key takeaways:The most common ocular manifestations of long COVID are conjunctivitis and dry eye. Optometrists can play an important role as part of a multidisciplinary management team. MINNEAPOLIS — Optometrists have an important part to play in the management of patients with long COVID, according to a speaker at Optometry’s Meeting.
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2 days ago |
healio.com | Justin Cooper
Key takeaways:Dyop and ETDRS results were comparable under photopic conditions. However, Dyop results were worse under mesopic conditions and better under blur conditions. MINNEAPOLIS — Visual acuity measured with the Dyop test varies significantly from ETDRS results under mesopic and blur conditions, according to a study presented at Optometry’s Meeting. The Dyop (Dynamic Optotype) test consists of two circles viewed on a digital display, one of which is spinning.
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2 days ago |
healio.com | Justin Cooper
Key takeaways:The model had an area under the curve of 0.92 in the detection of severe glaucoma. Additional training data could boost the model’s performance in mild to moderate glaucoma. MINNEAPOLIS — A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy in mild to moderate cases, according to a poster presented at Optometry’s Meeting.
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