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Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter [PDF]
Therapeutic advances in ophthalmology 11 (2019): 2515841419827172, 2018 Deep learning has recently gained high interest in ophthalmology, due to its ability to detect clinically significant features for diagnosis and prognosis. Despite these significant advances, little is known about the ability of various deep learning systems to be embedded within ophthalmic imaging devices, allowing automated image acquisition. In this
arxiv +1 more source
Artificial intelligence and deep learning in ophthalmology
British Journal of Ophthalmology, 2018 Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only beginning to impact on ...
D. Ting +9 more
semanticscholar +1 more source
Applications of Hyaluronic Acid in Ophthalmology and Contact Lenses
Molecules, 2021 Hyaluronic acid (HA) is a glycosaminoglycan that was first isolated and identified from the vitreous body of a bull’s eye. HA is ubiquitous in the soft connective tissues of animals and therefore has high tissue compatibility for use in medication ...
Wan-Hsin Chang +7 more
semanticscholar +1 more source
Ciência Rural, 2000 Para realizar a biometria ultra-sonográfica em tempo real, foram utilizados 60 globos oculares de 30 cães oftalmologicamente sadios, com o objetivo de se obter medidas das distâncias no interior do globo ocular.
Gentil Ferreira Gonçalves +7 more
doaj +1 more source
Frontiers in Veterinary Science, 2023 IntroductionAnesthesia induction agents have the potential to cause severe ocular side effects, resulting in lasting damage to the eye.ObjectivesThe purpose of this study is to determine the effects of tiletamine—zolazepam on IOP compared to propofol ...
Katharine A. McIver +3 more
doaj +1 more source
Evaluating Large Language Models in Ophthalmology [PDF]
arXiv, 2023 Purpose: The performance of three different large language models (LLMS) (GPT-3.5, GPT-4, and PaLM2) in answering ophthalmology professional questions was evaluated and compared with that of three different professional populations (medical undergraduates, medical masters, and attending physicians).
arxiv
Author Correction: Cross-ancestry genome-wide association analysis of corneal thickness strengthens link between complex and Mendelian eye diseases. [PDF]
, 2019 Emmanuelle Souzeau, who contributed to analysis of data, was inadvertently omitted from the author list in the originally published version of this Article.
Aung, Tin +61 more
core +2 more sources
Frontiers in Medicine, 2023 PurposeThe study aimed to assess the safety and the non-inferiority of cataract surgery outside an operating room using the Surgicube®, a mobile laminar airflow (LAF) device.SettingsThis single-center study was conducted at the Rothschild Foundation ...
Arnaud Artus +11 more
doaj +1 more source
Evaluating multiple large language models in pediatric ophthalmology [PDF]
arXiv, 2023 IMPORTANCE The response effectiveness of different large language models (LLMs) and various individuals, including medical students, graduate students, and practicing physicians, in pediatric ophthalmology consultations, has not been clearly established yet.
arxiv
Journal of Academic Ophthalmology, 2023 Introduction We created a virtual rotation to facilitate the exposure of ophthalmology to medical students and serve as a pilot program to help attract students from under-represented in medicine (URM) backgrounds. In addition to the rotation eliminating
Salman J. Yousuf +4 more
doaj +1 more source