Latest AI and machine learning research in ophthalmology for healthcare professionals.
Weed detection and classification using computer vision and deep learning techniques have emerged as...
Fundus fluorescein angiography (FFA) is the gold standard for diagnosing chorioretinal diseases, but...
BACKGROUND: IOL power selection is a key determinant of refractive outcomes after cataract surgery. ...
The ability of large language models (LLMs) to accurately answer medical board-style questions refle...
Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its iden...
Simultaneously enhancing strength and ductility is a longstanding challenge in materials science. Re...
BACKGROUND: Diabetic macular edema (DME) is a leading cause of vision loss in diabetes, with variabl...
BACKGROUND: Traditional clinical diagnostic methods of rapid eye movement sleep behavior disorder (R...
BACKGROUND: To develop and validate a diagnostic framework integrating intralesional (ILN) and peril...
To evaluate the agreement of LLMs with the Preferred Practice Patterns (PPP) guidelines developed by...
Fine-grained visual classification is fundamental for medical image applications because it detects ...
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG),...
Thyroid-associated ophthalmopathy (TAO) is an autoimmune disorder affecting the orbit, potentially r...
Retinal fundus images provide valuable insights into the human eye's interior structure and crucial ...
Based on the expertise of pathologists, the pixelwise manual annotation has provided substantial sup...
There are no prospective clinical studies evaluating artificial intelligence implementation for glau...
Glaucoma is a globally prevalent disease that leads irreversible blindness. The visual field (VF) ex...
Artificial intelligence (AI) has emerged as a transformative tool in ophthalmology for disease diagn...
Classifying bird species is essential for ecological study and biodiversity protection, currently, c...
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges...
Plant diseases cause major crop losses worldwide, making early detection essential for sustainable f...