Latest AI and machine learning research in ophthalmology for healthcare professionals.
Age-related macular degeneration (AMD) is influenced not only by biological factors but also by the broader urban environment, yet evidence integrating multiple environmental exposures remains limited. We examined the associations of residential road traffic noise, fine particulate air pollution (PM2.5), and green space with AMD risk using data from the UK Biobank (207,859 controls and 5571 incide...
BACKGROUND: Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI models that learn to generate new data samples resemb...
BackgroundEye movement is a vital indicator of neurodegenerative diseases, brain health, and behavior. However, existing knowledge is limited to patie...
Radiologic error remains an enduring challenge in diagnostic medicine. Despite study of radiologic error since the mid-twentieth century, interpretive...
PURPOSE: To determine whether rates of change in lamina cribrosa (LC) depth and curvature in POAG patients are associated with rates of visual field (...
Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is the leading cause of irreversible vision loss in the...
Stereotactic Arrhythmia Radioablation (STAR) is a promising treatment for refractory ventricular tachycardia. However, its precision may be hampered b...
PURPOSE: To evaluate the gradable rate of the retinal images acquired with DRSplus retinographer in patients with diabetes and to estimate the diabeti...
PURPOSE: In this study, we aimed to fully automate the measurement of choroidal thickness and choroidal vascularity index in images obtained using swe...
The liquid state machine (LSM), a reservoir computing variant of spiking neural networks (SNNs), has been widely adopted for its low training complexi...
Freezing of gait (FOG), a disabling symptom in Parkinson's disease, presents a major challenge for wearable classification algorithms that struggle to...
This narrative review with structured literature screening combines comprehensive research on the rapid adoption of object detection computer vision m...
The application of artificial intelligence (AI) in clinical diagnostics has shown substantial potential; however, conventional centralized learning fr...
Strabismus is a prevalent ocular disorder that can impair visual development and cause psychological issues if not diagnosed early. Conventional clini...
BACKGROUND: Ambient artificial intelligence scribes are increasingly used to reduce clinician burnout and cognitive load, although their impact on doc...
To investigate the association between manually measured retinal fluid heights and AI-quantified retinal fluid volumes and to explore disease activity...
Although conventional automated analysis of corneal specular microscopy images has historically been limited by reproducibility challenges in the pres...
BACKGROUND: The integration of artificial intelligence into retinal practice represents more than a technological advancement; it constitutes an anthr...