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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 ...
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ChatGPT and Ophthalmology: Exploring Its Potential with Discharge Summaries and Operative Notes
Seminars in Ophthalmology, 2023Purpose This study aimed to report the abilities of the large language model ChatGPTR (OpenAI, San Francisco, USA) in constructing ophthalmic discharge summaries and operative notes.
Swati Singh, A. Djalilian, M. Ali
semanticscholar +1 more source
British Journal of Ophthalmology, 2023
Background Evidence on the performance of Generative Pre-trained Transformer 4 (GPT-4), a large language model (LLM), in the ophthalmology question-answering domain is needed. Methods We tested GPT-4 on two 260-question multiple choice question sets from
F. Antaki +7 more
semanticscholar +1 more source
Background Evidence on the performance of Generative Pre-trained Transformer 4 (GPT-4), a large language model (LLM), in the ophthalmology question-answering domain is needed. Methods We tested GPT-4 on two 260-question multiple choice question sets from
F. Antaki +7 more
semanticscholar +1 more source
Virtual Ophthalmology: Telemedicine in a COVID-19 Era
Sophia Mirza Saleem +2 more
exaly +2 more sources
Applications of Hyaluronic Acid in Ophthalmology and Contact Lenses
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
British Journal of Ophthalmology, 2023
Background Large language models (LLMs) are fast emerging as potent tools in healthcare, including ophthalmology. This systematic review offers a twofold contribution: it summarises current trends in ophthalmology-related LLM research and projects future
Matthew Wong +6 more
semanticscholar +1 more source
Background Large language models (LLMs) are fast emerging as potent tools in healthcare, including ophthalmology. This systematic review offers a twofold contribution: it summarises current trends in ophthalmology-related LLM research and projects future
Matthew Wong +6 more
semanticscholar +1 more source
Facing COVID-19 in Ophthalmology Department
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
The Economic Downturn of Pediatric Ophthalmology and Its Impact on Access to Eye Care.
Journal of pediatric ophthalmology and strabismus, 2022PURPOSE To discuss the economic downturn of pediatric ophthalmology in the setting of an alarming decline in the number of residents pursuing pediatric ophthalmology and its impact on limiting access to eye care.
Karen E. Lee +3 more
semanticscholar +1 more source
The Economic Factors Impacting the Viability of Pediatric Ophthalmology.
Journal of pediatric ophthalmology and strabismus, 2022PURPOSE To create a survey that assesses the economic factors impacting the viability of pediatric ophthalmology between January 2021 and July 2022. METHODS A 12-question survey was distributed to United States-based pediatric ophthalmologists on the ...
Karen E. Lee +3 more
semanticscholar +1 more source
Social media and ophthalmology: A review
Clinical and Experimental Ophthalmology, 2022Social media is being widely used across ophthalmology. Its communication tools have been employed more often by ophthalmologists in private practice than academia, although academic institutions may be more impactful influencers. There are opportunities
Andrew AK Nguyen +2 more
semanticscholar +1 more source

