Results 331 to 340 of about 682,776 (395)

ChatGPT and Ophthalmology: Exploring Its Potential with Discharge Summaries and Operative Notes

Seminars in Ophthalmology, 2023
Purpose 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

Capabilities of GPT-4 in ophthalmology: an analysis of model entropy and progress towards human-level medical question answering

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, D. Milad, Mark A. Chia, Charles-Édouard Giguère, Samir Touma, J. El-Khoury, P. Keane, R. Duval   +7 more
semanticscholar   +1 more source

Review of emerging trends and projection of future developments in large language models research in ophthalmology

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, Zhi Wei Lim, Krithi Pushpanathan, Carol Y. Cheung, Y. X. Wang, D. Chen, Y. Tham   +6 more
semanticscholar   +1 more source

Enhancing Diversity in the Ophthalmology Workforce

Ophthalmology, 2022
Fasika A Woreta, Lynn Gordon, Nazlee Zebardast   +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, 2022
PURPOSE 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, Jake A Sussberg, Leonard B. Nelson, T. Thuma   +3 more
semanticscholar   +1 more source

Social media and ophthalmology: A review

Clinical and Experimental Ophthalmology, 2022
Social 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, E. Tsui, Justine R. Smith   +2 more
semanticscholar   +1 more source

Advances in Ophthalmology,

Archives of Ophthalmology, 1973
This volume is dedicated to Professor E. B. Streiff. Professor Streiff has been for more than 30 years the professor and chairman of the Department of Ophthalmology at the University of Lausanne, Switzerland. He was born in Genoa, Italy, and trained under Franceschetti in Geneva.
openaire   +2 more sources

Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology

British Journal of Ophthalmology, 2020
With the advancement of computational power, refinement of learning algorithms and architectures, and availability of big data, artificial intelligence (AI) technology, particularly with machine learning and deep learning, is paving the way for ...
D. Ting, Valencia Foo, Lily Wei Yun Yang, J. T. Sia, M. Ang, Haotian Lin, J. Chodosh, J. Mehta, D. Ting   +8 more
semanticscholar   +1 more source

Targeting angiogenesis in oncology, ophthalmology and beyond

Nature reviews. Drug discovery, 2023
Yihai Cao, R. Langer, N. Ferrara
semanticscholar   +1 more source

Performance of Generative Large Language Models on Ophthalmology Board Style Questions.

American journal of ophthalmology-glaucoma, 2023
Louis Z Cai, Abdulla R. Shaheen, Andrew C. Jin, Riya Fukui, Jonathan S. Yi, Nicolas A. Yannuzzi, C. Alabiad   +6 more
semanticscholar   +1 more source