Latest AI and machine learning research in ophthalmology for healthcare professionals.
BACKGROUND: The advent of generative artificial intelligence has led to the emergence of multiple vi...
Agriculture is an essential foundation that supports numerous economies, and the longevity of the co...
Precise alignment of the electron beam is critical for successful application of scanning transmissi...
Optical coherence tomography (OCT) is a widely used imaging technology in ophthalmic clinical practi...
PURPOSE: Bridging radiation therapy (BRT) is effective for local control in patients with relapsed o...
Screening for diabetic retinopathy has been shown to reduce the risk of sight loss in people with di...
Underrepresented groups (URGs) in the United States, including African Americans, Latino/Hispanic Am...
Imaging disciplines, such as ophthalmology, offer a wide range of opportunities for the beneficial u...
Work-related injuries from overexertion, particularly lifting, are a major concern in occupational s...
INTRODUCTION: Overactive bladder (OAB) is a common urological condition with increasing prevalence, ...
IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness...
PURPOSE: To compare two artificial intelligence (AI) models, residual neural networks ResNet-50 and ...
PURPOSE: To examine the abilities of ChatGPT in writing scientific ophthalmology introductions and t...
The worldwide prevalence of glaucoma makes it a major reason for blindness thus proper early diagnos...
: Assess the ability of ChatGPT-4 (GPT-4) to effectively triage patient messages sent to the general...
Deep learning methods have significantly advanced the field of gaze estimation, yet the development ...
OBJECTIVES: Early detection of diabetic retinopathy (DR) and timely intervention are critical for pr...
Epilepsy, as a prevalent neurological disorder, is characterized by its high incidence, sudden onset...
Artificial intelligence (AI) is progressively transforming all fields of medicine, promising substan...
BACKGROUND: Resuscitation science today often focuses on advanced topics such as extracorporeal card...
This study introduces the Medical Vision Attention Generation (MedVAG) model, a novel framework desi...