Results 11 to 20 of about 682,776 (395)

OPHTHALMOLOGY [PDF]

open access: greenThe American Journal of the Medical Sciences, 1888
n ...
GEORGE A. BERRY
openalex   +4 more sources

Evaluating the Performance of ChatGPT in Ophthalmology

open access: yesmedRxiv, 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

Learnable Ophthalmology SAM [PDF]

open access: yesarXiv.org, 2023
Segmentation is vital for ophthalmology image analysis. But its various modal images hinder most of the existing segmentation algorithms applications, as they rely on training based on a large number of labels or hold weak generalization ability.
Zhongxi Qiu, Yan Hu, Heng Li, Jiang Liu
semanticscholar   +1 more source

Artificial Intelligence in Ophthalmology: A Comparative Analysis of GPT-3.5, GPT-4, and Human Expertise in Answering StatPearls Questions

open access: yesCureus, 2023
Importance Chat Generative Pre-Trained Transformer (ChatGPT) has shown promising performance in various fields, including medicine, business, and law, but its accuracy in specialty-specific medical questions, particularly in ophthalmology, is still ...
M. Moshirfar   +4 more
semanticscholar   +1 more source

Optical Coherence Tomography (OCT): A Brief Look at the Uses and Technological Evolution of Ophthalmology

open access: yesMedicina, 2023
Medical imaging is the mainstay of clinical diagnosis and management. Optical coherence tomography (OCT) is a non-invasive imaging technology that has revolutionized the field of ophthalmology.
Marco Zeppieri   +7 more
semanticscholar   +1 more source

OPHTHALMOLOGY [PDF]

open access: yesThe American Journal of the Medical Sciences, 1891
n ...
Berry, George A., Jackson, Edward
openaire   +6 more sources

Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey

open access: yesEye and Vision, 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 ...
Aram You, Jin Kuk Kim, I. Ryu, T. Yoo
semanticscholar   +1 more source

A bibliometric analysis of systematic reviews and meta-analyses in ophthalmology

open access: yesFrontiers in Medicine, 2023
Background Bibliometric analysis is a quantitative method which applies mathematical and statistical tools to evaluate the inter-relationships and impacts of publications, authors, institutions and countries in a specific research area.
Yihang Fu   +5 more
semanticscholar   +1 more source

Education and Misinformation: Exploring Ophthalmology Content on TikTok

open access: yesOphthalmology and Therapy, 2023
Introduction With the continuous rise of social media usage, more patients are looking online for health-related information. TikTok is one of the fastest-growing video-based social media platforms, but the quality of its ophthalmologic content, at a ...
Ritu Sampige   +3 more
semanticscholar   +1 more source

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