Latest AI and machine learning research in ophthalmology for healthcare professionals.
BACKGROUND: Postoperative delirium is an acute, fluctuating neurocognitive syndrome. It is among the most common perioperative complications in older patients and is associated with increased morbidity and mortality, a prolonged length of stay, complications, and persistent cognitive impairment. After major head and neck procedures, the risk is particularly high; risk factors often accumulate, inc...
PURPOSE: To develop and validate models to identify pre-myopic children from their myopic and hyperopic peers using ocular biometry and demographic data. METHODS: Multinomial logistic regression (MLR) and machine learning algorithms (random forest and extreme gradient boosting) were applied to data from a school vision screening programme conducted by a private eye hospital in China. The dataset i...
BACKGROUND: Assessing dental caries, sealants, and fluorosis is essential for public health surveillance, providing critical data to evaluate national...
Major treats to visual health includes diabetic macular edema (DME), age-related macular degeneration (AMD) and retinal vein occlusion (RVO), which re...
This study aimed to identify and validate corneal biomarkers underlying myopia using human corneal tissues. Gene expression data were analyzed to inve...
Refractive errors are a leading cause of visual impairment, with substantial economic impact. Digital refraction systems may help improve access to ey...
PURPOSE: To evaluate longitudinal change in hard exudate (HEs) volume over 5-years following anti-VEGF treatment for diabetic macular oedema (DMO). ME...
Objective biobehavioral markers for mental health conditions remain elusive, with diagnosis typically relying on self-reports and clinical interviews....
PURPOSE: Diabetic retinopathy is a serious complication of diabetes that can damage the retina of the eye. It potentially leads to vision impairment o...
Interpretability remains one of the major challenges in the clinical adoption of deep learning models for medical image analysis. In ophthalmology, pa...
Despite the potential of vision-language models for open-vocabulary recognition, their deployment in remote sensing is limited by the limited effectiv...
OBJECTIVE: Patients implanted with the PRIMA photovoltaic subretinal prosthesis in geographic atrophy report form vision with the average acuity match...
BACKGROUND: Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated ...
Sleep plays an important role in memory integration. Closed-loop physical stimulation during rapid eye movement (REM) or non-rapid eye movement (NREM)...
Critical care unfolds at the crossroads of highly complex, nonlinear systems. The intersection of pathophysiology, human behavior, and clinical operat...
This study evaluates patient engagement and satisfaction with Everyday Medical Monitoring Ally (E.M.M.A), a purpose-trained artificial intelligence (A...
The third biggest concentration of metallic ions is traces of the element copper (Cu2+), which is crucial to all living creatures and plays a key role...
BACKGROUND: Recent developments in physiological, imaging and digital biomarkers combined with the approval of new disease-modifying drugs against Alz...
OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction, often presenting with complex and variable orbita...