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Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Eye and Vision (London, England), 2022 Background Recent advances in deep learning techniques have led to improved diagnostic abilities in ophthalmology. A generative adversarial network (GAN), which consists of two competing types of deep neural networks, including a generator and a ...
Tae-keun Yoo
exaly +2 more sources
Metaverse and Virtual Health Care in Ophthalmology: Opportunities and Challenges
Asia-Pacific Journal of Ophthalmology, 2022 The outbreak of the coronavirus disease 2019 has further increased the urgent need for digital transformation within the health care settings, with the use of artificial intelligence/deep learning, internet of things, telecommunication network/virtual ...
Dinesh V Gunasekeran, Daniel Sw Ting
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Scientific Reports, 2021 Artificial intelligence technology has advanced rapidly in recent years and has the potential to improve healthcare outcomes. However, technology uptake will be largely driven by clinicians, and there is a paucity of data regarding the attitude that ...
Jane Scheetz +2 more
exaly +2 more sources
Application prospect of large language model represented by ChatGPT in ophthalmology [PDF]
International Journal of OphthalmologyChatGPT technology based on large language models (LLM) shows great potential in improving the quality of medical care, assisting clinical decision making and optimizing patient communication. The role of ChatGPT in ophthalmology is still in its infancy.
Ji-Fa Kuang +4 more
doaj +2 more sources
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 ...
Yuan-Hao Howard Hsu
exaly +2 more sources
Facing COVID-19 in Ophthalmology Department
Current Eye Research, 2020 Purpose: To provide useful guidelines, targeted at ophthalmology professionals, to minimize COVID-19 infection of both health-care workers and patients.
Mario R Romano +2 more
exaly +2 more sources
Reshaping ophthalmology training after COVID-19 pandemic
Eye, 2020 Background The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on practical activities and didactic teaching of residents and fellows.
Mariantonia Ferrara +2 more
exaly +2 more sources
Virtual Ophthalmology: Telemedicine in a COVID-19 Era
American Journal of Ophthalmology, 2020 Sophia Mirza Saleem +2 more
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Evaluating the Performance of ChatGPT in Ophthalmology
medRxiv, 2023 We tested the accuracy of ChatGPT, a large language model (LLM), in the ophthalmology question-answering space using two popular multiple choice question banks used for the high-stakes Ophthalmic Knowledge Assessment Program (OKAP) exam. The testing sets
F. Antaki +4 more
semanticscholar +1 more source