Results 31 to 40 of about 664,169 (399)
Neuro-ophthalmology Training in Ophthalmology Residency Programs in the United States
Journal of Academic Ophthalmology, 2018 Background The status of neuro-ophthalmology education in ophthalmology residency training in the United States is unknown. There are numerous articles in the literature detailing resident outcomes for surgical procedures; however, there are no articles ...
Laura L. Wayman +2 more
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Artificial Intelligence Meets Neuro-Ophthalmology
Asia - Pacific Journal of Ophthalmology, 2022 Recent advances in artificial intelligence have provided ophthalmologists with fast, accurate, and automated means for diagnosing and treating ocular conditions, paving the way to a modern and scalable eye care system.
Y. Leong +4 more
semanticscholar +1 more source
Oman Journal of Ophthalmology, 2021 AIM: To describe, the impact of ongoing coronavirus disease 2019 (COVID-19) pandemic on ophthalmic surgeries at a tertiary eye care center of East India during and after the lockdown, and the positivity rate for novel coronavirus (severe acute ...
Md Shahid Alam +5 more
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Current Scope of Online Ophthalmology Education and Curriculum Impact Due to COVID-19
Journal of Academic Ophthalmology, 2021 Objective Abrupt changes in ophthalmology education caused by the COVID-19 pandemic have resulted in novel online curriculum development. The aims of this study were to identify (1) the scope of online curricula implemented both prior to and during the ...
Patrick S. Y. Lee +9 more
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Towards effective data sharing in ophthalmology: data standardization and data privacy
Current Opinion in Ophthalmology, 2022 Purpose of review The purpose of this review is to provide an overview of updates in data standardization and data privacy in ophthalmology. These topics represent two key aspects of medical information sharing and are important knowledge areas given ...
William d. Halfpenny, Sally L. Baxter
semanticscholar +1 more source
Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence
Xiehe Yixue Zazhi, 2021 Deep learning, for its powerful learning capability and high usability, has been a prevalent algorithm of machine learning and a core technique for artificial intelligence(AI) in medicine and healthcare.
LI Xirong
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Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes [PDF]
arXiv, 2023 We introduce an annotated corpus of 600 ophthalmology notes labeled with detailed spatial and contextual information of ophthalmic entities. We extend our previously proposed frame semantics-based spatial representation schema, Rad-SpatialNet, to represent spatial language in ophthalmology text, resulting in the Eye-SpatialNet schema.
arxiv
Insights into the growing popularity of artificial intelligence in ophthalmology
Indian Journal of Ophthalmology, 2020 Artificial intelligence (AI) in healthcare is the use of computer-algorithms in analyzing complex medical data to detect associations and provide diagnostic support outputs. AI and deep learning (DL) find obvious applications in fields like ophthalmology
Sreetama Dutt +3 more
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Frontiers in Neurology, 2023 Deep brain stimulation (DBS) to the ventral intermediate nucleus (VIM) of the thalamus has become a common procedure for some refractory, medication-resistant movement disorders like essential tremors.
Victoria Cegielski +3 more
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The Scholarly Impact of Student Authorship in Ophthalmology
Journal of Academic Ophthalmology, 2023 Purpose The H-index (Hi), an author-level metric of scholarly impact, is predictive of future scientific achievement. We sought to analyze the scholarly impact of student authorship on the Hi of corresponding authors (CAs) within a major academic journal
Minali Prasad +5 more
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