Latest AI and machine learning research in ophthalmology for healthcare professionals.
Artificial intelligence (AI) is rapidly reshaping clinical oncology, as cancer care increasingly relies on integrating heterogeneous data streams spanning radiology, digital pathology, genomics, and longitudinal electronic health records. However, the sheer complexity and fragmentation of these multimodal inputs remain a major bottleneck for achieving truly personalized cancer management. Recent a...
OBJECTIVE: Currently available wearable devices for detecting focal seizures primarily target major motor seizures or involve semi-invasive subscalp implants. There is a pressing need for accurate, non-invasive methods to detect diverse focal seizures for long-term, out-of-hospital monitoring. METHODS: In this multicenter study (SeizeIT2), people with refractory focal epilepsy undergoing long-term...
BACKGROUND: Accurate estimation of the retinal age, defined as the age predicted from fundus photographs by a deep-learning model trained on chronolog...
Invasive venous blood draws remain the clinical standard for hematology, yet they are invasive, time-consuming, and costly. We introduce Video-to-Vess...
Eye diseases, including diabetic retinopathy (DR), glaucoma, and cataracts, represent a major global health concern and can lead to severe visual impa...
Visuo-haptic interactions are gaining interest in perception research because of their relevance to robotics and rehabilitation. While the benefits of...
PURPOSE: To investigate whether a vision-language foundation model can enhance undersampled MRI reconstruction by providing high-level contextual info...
BACKGROUND: Traditional weight-centered models do not fully capture the biological complexity of obesity. Systems biology offers a new framework by in...
BACKGROUND/AIMS: Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow or insensitive microbiolo...
The normal tension glaucoma (NTG) has limited drug options since current antiglaucoma medications are mostly designed to decrease intraocular pressure...
PURPOSE: To assess the performance of an artificial intelligence deep learning (DL) model compared with neuro-ophthalmologists for the classification ...
BACKGROUND: Approximately 1 in 5 children and adolescents live with chronic pain, with musculoskeletal (MSK) pain being one of the most prevalent subt...
PURPOSE OF REVIEW: To summarize recent technological, procedural and material advances that are reshaping cataract surgery and to appraise their impli...
Magnetic Resonance Imaging is a critical imaging modality in clinical diagnosis and research, yet its complexity and heterogeneity hinder scalable, ge...
OBJECTIVES: To investigate the association between quantitative retinal vascular parameters and coronary artery disease (CAD) and to evaluate the effi...
Where and when should a robot look during interaction with humans? Intuitively, human-human interaction serves as the blueprint. In such interactions,...