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A 7-year-old Arabic girl presented to the emergency department with acute vision loss in the left eye that began that morning ...
We evaluated the association of 3‐dimensional echocardiographic LA contractility parameters with SCIs and stroke across the spectrum of tertiles of age increment in elderly patients with sinus rhythm, ...
This systematic review and meta-analysis aimed to compare the effects of TRF versus normal diet (ND) on physical performance and body composition in healthy adults with regular exercise habits.
to study normal force interactions between these surfaces as a function of lubricin and HA concentration using colloidal probe microscopy. We found that lubricin is amphiphilic and adsorbed strongly ...
This study assessed the discriminative performance of AutoML in differentiating retinal vein occlusion (RVO), retinitis pigmentosa (RP) and retinal detachment (RD) from normal fundi using ...
What is normal pressure hydrocephalus? The brain has chambers called ventricles (cavities) that normally contain fluid. This fluid is called cerebrospinal fluid (CSF). It cushions the brain and spinal ...
A wall of dust moves through Bloomington-Normal on Friday afternoon, seen here in northeast Normal. On Thursday it was golf ball-sized hail. On Friday it was an ominous wall of dust that looked ...
Physical examination revealed left eye visual acuity of 0.2, left ptosis, and limited movement of the left eyeball, with normal fundus findings. CT imaging demonstrated an irregular high-density ...
Phrased in medical terms, “normal findings are good, and abnormal findings are bad.” This is too simple, and often wrong. Good clinicians know that care must be personalized for it to be optimal.
Outcomes of untreated frequent premature ventricular complexes with normal left ventricular function
Methods This cohort study prospectively evaluated consecutive patients from 2012 to 2017, with asymptomatic or minimally symptomatic frequent idiopathic PVCs (≥5% PVCs in 24 hours; normal LVEF; no ...
Despite the strides made in deep neural networks, incorporating trained segmentation models for clinical application remains challenging due to domain shifts arising from disparities in fundus images ...
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