Latest AI and machine learning research in ophthalmology for healthcare professionals.
Trigeminal neuralgia (TN), a devastating neuropathic pain condition, profoundly affects human well-being. Despite an initial response to carbamazepine (CBZ), many patients become refractory to pharmacotherapy and subsequent invasive procedures. Although preclinical trigeminal neuropathic pain models following extracranial chronic constriction injury (CCI) of the trigeminal nerve have been develope...
Robot-assisted ophthalmic surgery has undergone rapid development in recent decades. Robot-assisted ophthalmic surgery, as examined through bibliometric and visual mapping, has its global research status, historical evolution, hotspots, and future trends systematically characterized in this study. Publications related to robot-assisted ophthalmic surgery covered three decades and sourced from the ...
Diabetic macular edema (DME) is a leading cause of vision impairment worldwide. While aqueous humor (AH) proteomics holds promise for uncovering disea...
PURPOSE: To compare the accuracy of vertical cup-disc ratios (VCDR), ascertained by machine learning (ML) versus human graders, from fundus images for...
PURPOSE: To evaluate the association between baseline optical coherence tomography (OCT) biomarkers and 2-year disease progression from intermediate a...
Eye-tracking-while-reading corpora are a valuable resource for many different disciplines and use cases. Use cases range from studying the cognitive p...
The increasing demand for personalized skincare solutions highlights a significant gap: many consumers struggle to find suitable products without prof...
INTRODUCTION: Digital technologies, including intraoral scanners, computer-aided design/computer-aided manufacturing (CAD/CAM), cone-beam computed tom...
BACKGROUND: Primary angle-closure glaucoma (PACG) damages retinal ganglion cells (RGCs) and is associated with neurodegeneration. This study used rest...
Landmark descriptions of autism in the 1940s were based on clinical work with children. Research over the subsequent 80Â years has largely focused on t...
Robot-assisted vitreoretinal surgery is a precision-oriented approach for technically demanding retinal procedures, but its structure and clinical mat...
PURPOSE: Clinical decision-making in glaucoma is complex and requires integration of heterogeneous information, including patient history, examination...
IMPORTANCE: Retinal vasculitis is a sight-threatening condition associated with diverse ocular and systemic diseases. Variability in terminology and d...
We contribute PERCEIV (PERCeption of visual Encodings in InfoVis), a large-scale dataset to support studies of user responses to visual encoding varia...
Physician oaths are often treated as ceremonial relics or ethical ornaments of graduation. I have come to think they are something more demanding: ear...
Multimodal ophthalmic diagnosis requires integrating fundus photography, B-scan ultrasonography, and medical evidence, yet most artificial intelligenc...
Corneal drug permeability is a key determinant of topical ocular drug delivery efficiency, yet its quantitative prediction remains challenging due to ...
Retinal vessel segmentation plays a critical role in the diagnosis of ophthalmic diseases. However, challenges arise due to low image contrast and the...