Three Routine Checkup Measures Screen for Severe Sleep Apnea Without Questionnaires
A retrospective study developed a three-factor screening model using sex, waist circumference, and the triglyceride-glucose index to prioritize patients with ...
A retrospective study developed a three-factor screening model using sex, waist circumference, and the triglyceride-glucose index to prioritize patients with ...
Swiss researchers have published a study protocol comparing machine learning algorithms against logistic regression to predict patient recovery and revision ...
A retrospective study of 550 older adults with type 2 diabetes revealed that distinct endocrine-bone metabolic phenotypes correlate strongly with ...
An attention-enhanced ResNet-50 deep learning model achieved an accuracy of 0.833 and an area under the curve of 0.855 when ...
A dual-center retrospective cohort study found that adding both the neutrophil-to-lymphocyte ratio and lactate dehydrogenase-to-albumin ratio to the GWTG-HF score ...
A retrospective study of 413 patients found that early postprocedural neutrophil-to-lymphocyte ratio showed the highest discriminatory performance for one-year all-cause ...
A nationwide analysis of older Indian adults found that while nearly ninety percent of spirometry-defined airflow obstruction cases are unrecognised ...
A temporal validation study shows logistic regression performs as well as machine learning in predicting thyroid nodule malignancy.
Preoperative echocardiographic evaluation of shunt angle and inlet visibility reliably predicts the success of exclusive transvenous patent ductus arteriosus closure.
A deep learning framework that decodes spatial intratumor heterogeneity from preoperative computed tomography scans predicts cervical lymph node metastasis and ...
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© 2026 Scienmag - Science Magazine