Latest AI and machine learning research in ophthalmology for healthcare professionals.
Non-advanced age-related macular degeneration (AMD), encompassing early and intermediate stages, represents a critical therapeutic window before irreversible central vision loss. Traditionally defined by drusen size and pigmentary abnormalities on color fundus photography, disease characterization has evolved substantially with the integration of multimodal imaging biomarkers. Contemporary imaging...
Artificial intelligence (AI)-generated medical images are reaching photorealistic quality, which could help medical education within visually driven specialties such as ophthalmology and dermatology. Such technology may make customizable teaching materials more accessible. However, as real and generated images become harder to distinguish, several concerns emerge. AI hallucinations may pollute rea...
The predictive modeling of postoperative mechanical complications, such as the early micro-rotation of premium toric intraocular lenses (IOLs), is sev...
Cataract is among the leading cause of vision impairment worldwide and it is essential to uncover molecule-level characteristics of different cataract...
BACKGROUND: Ophthalmological reports are often written at a complexity level that exceeds the reading ability of many patients. Large language models ...
PURPOSE: To identify which features best differentiate Sjögren's-related from non-Sjögren's related dry eye disease (DED) using machine-learning model...
Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care capacity and demand. However, fe...
Artificial intelligence (AI) is increasingly shaping the ways in which psychiatry understands, predicts, communicates, and responds to mental sufferin...
Retinal procedures require precise instrument manipulation to avoid iatrogenic injuries. Intraoperative Optical Coherence Tomography (iOCT) delivers r...
Neurodegenerative diseases (NDDs) such as Alzheimer's disease (AD), essential tremor (ET), multiple sclerosis (MS), and Parkinson's disease (PD) are c...
PURPOSE: Among the extraintestinal ocular manifestations of patients with inflammatory bowel disease (IBD), episcleritis is associated with the inflam...
Digital infrastructures such as platforms, algorithms, and artificial intelligence (AI) are rapidly reshaping the conditions under which nursing care ...
Accurate prediction of drug-target affinities (DTA) is critical for drug discovery. However, this task remains a significant challenge due to the comp...
BACKGROUND: Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are 2 of the leading causes of vision loss worldwide. As population a...
Dementia is a growing global health challenge, and early identification is essential for timely intervention. We evaluated whether foundation model-ba...
High-resolution, real-time tactile sensing is essential for robotic tasks that demand accurate, dynamic detection of contact morphology and pressure d...
Spaceflight-associated neuro-ocular syndrome (SANS) poses significant ocular health risks in long-duration missions, yet its molecular mechanisms rema...
Forensic DNA phenotyping (FDP) enables the prediction of externally visible characteristics from genetic data, providing valuable investigative leads....
OBJECTIVE: To evaluate the diagnostic accuracy of Luminetics Core, a Food and Drug Administration-cleared artificial intelligence-based screening syst...
BACKGROUND: The retina shares developmental origin, microvascular anatomy, and barrier physiology with the brain, making non-invasive retinal imaging ...