Results 11 to 20 of about 698,290 (348)
Evaluating the Performance of ChatGPT in Ophthalmology
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
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
Learnable Ophthalmology SAM [PDF]
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
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
Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023).
With the upsurge of artificial intelligence (AI) technology in the medical field, its application in ophthalmology has become a cutting-edge research field.
Wei-Hua Yang, Yang Xu
semanticscholar +1 more source
A bibliometric analysis of systematic reviews and meta-analyses in ophthalmology
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
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
Natural language processing (NLP) is a subfield of machine intelligence focused on the interaction of human language with computer systems. NLP has recently been discussed in the mainstream media and the literature with the advent of Generative Pre ...
Siddharth Nath +4 more
semanticscholar +1 more source
Purpose Coronavirus disease (COVID-19) has rapidly emerged as a global health threat. The purpose of this article is to share our local experience of stepping up infection control measures in ophthalmology to minimise COVID-19 infection of both ...
Tracy H. T. Lai +4 more
semanticscholar +1 more source
The prevalence of myopia is increasing extensively worldwide. The number of people with myopia in 2020 is predicted to be 2.6 billion globally, which is expected to rise up to 4.9 billion by 2050, unless preventive actions and interventions are taken ...
J. Németh +25 more
semanticscholar +1 more source

