Results 11 to 20 of about 707,258 (395)
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
Rare diseases leading to childhood Glaucoma. epidemiology, pathophysiogenesis, and management [PDF]
Noteworthy heterogeneity exists in the rare diseases associated with childhood glaucoma. Primary congenital glaucoma is mostly sporadic; however, 10% to 40% of cases are familial. CYP1B1 gene mutations seem to account for 87% of familial cases and 27% of
Abdolrahimzadeh, Solmaz +5 more
core +10 more sources
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
Objective The study aimed to investigate factors influencing choice of specialty among ophthalmology and non-ophthalmology residency applicants. Patients and Methods Anonymous, web-based surveys were distributed through REDCap to the 2019 to ...
David Cui +2 more
doaj +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
The Effect of Cone Opsin Mutations on Retinal Structure and the Integrity of the Photoreceptor Mosaic [PDF]
Purpose. To evaluate retinal structure and photoreceptor mosaic integrity in subjects with OPN1LW and OPN1MW mutations. Methods. Eleven subjects were recruited, eight of whom have been previously described.
Banin, Eyal +19 more
core +2 more sources
Classification of Human Retinal Microaneurysms Using Adaptive Optics Scanning Light Ophthalmoscope Fluorescein Angiography [PDF]
Purpose. Microaneurysms (MAs) are considered a hallmark of retinal vascular disease, yet what little is known about them is mostly based upon histology, not clinical observation.
Carroll, Joseph +13 more
core +2 more sources
Herpes simplex keratitis: Challenges in diagnosis and clinical management [PDF]
Herpes simplex virus is responsible for numerous ocular diseases, the most common of which is herpetic stromal keratitis. This is a recurrent infection of the cornea that typically begins with a subclinical infection of the cornea that establishes a ...
Azher, Tayaba N +4 more
core +3 more sources

