Latest AI and machine learning research in ophthalmology for healthcare professionals.
Aesthetic evaluation of artistic images remains a challenging prediction problem, constrained by the subjective nature of human aesthetic cognition and the complex interplay between low-level visual structures and high-level semantic characteristics. In terms of model construction, the major bottleneck is to establish discriminative representations that can sufficiently model nonlinear dependencie...
Cervical cancer is still a major public-health challenge, especially in low and middle-income countries where there are limited numbers of specialists to review Pap smears. While Pap smear screening is widely used, manual reading is slow and can vary from one expert to another, which makes data-driven decision support increasingly important. However, Pap smear imagery datasets from African screeni...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity fo...
Simultaneously capturing subcellular dynamics across thousands of cells in mammals remains challenging because of trade-offs among spatial resolution,...
Current ADHD diagnostic practices rely on subjective rating scales and continuous performance tests with limited specificity. We propose an objective ...
BACKGROUND: Artificial intelligence (AI) enabled systems hold significant promise for transforming health care delivery. These technologies are freque...
Retinal detachment (RD) is a vision-threatening condition that requires prompt intervention to preserve sight. A critical factor in treatment urgency ...
Behçet's disease (BD) in childhood is characterised by recurrent inflammatory flares that can result in significant morbidity, most notably with ocula...
This study developed a machine learning framework for stratifying abnormal glucose tolerance risk among outpatients presenting with foamy urine. It re...
BACKGROUND: Attentional functioning in childhood emerges from the interaction between cognitive, behavioral, and emotional processes. Children with th...
Regulatory acceleration, expanded reliance on real-world evidence (RWE), and increasing integration of artificial intelligence (AI) into healthcare sy...
BACKGROUND: Neonatal respiratory outcomes remain leading drivers of neonatal intensive care unit (NICU) morbidity, mortality, and prolonged hospitaliz...
In the last few years, chemical analysis and chromatography approaches have been implemented widely for detecting marijuana. Such approaches are sligh...
Glaucoma is a primary cause of permanent vision loss, and it often gets worse without anybody noticing. This makes it very important to find it early ...
Student engagement and emotional state monitoring remains a major challenge in modern education, particularly in online learning environments where di...
BACKGROUND: To identify serum metabolic biomarkers that distinguish corticosteroid and cyclosporin A (CS & CsA) resistant pediatric idiopathic uveitis...
Autism Spectrum Disorder (ASD) is a neurodevelopmental disease marked by limited or repetitive behaviors as well as ongoing difficulties with social c...
Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at severe neurological diseases. Current clinical practice...