Four Clinical Admission Indicators Predict Early Consciousness Decline in Acute Stroke Patients
A dynamic clinical nomogram based on four routine admission indicators accurately predicted post-stroke consciousness disorders within seventy-two hours.
Tag: decision curve analysis
Ultrasound Perfusion Fingerprinting Accurately Differentiates Benign and Malignant Breast Lesions
A contrast-enhanced ultrasound framework combining spectral-habitat analysis and perfusion fingerprinting achieved an area under the curve of 0.953 for differentiating ...
Postoperative Nomogram Predicts Three-Year Disease-Free Survival in Rectal Cancer
A four-predictor postoperative nomogram demonstrated promising discrimination for predicting three-year disease-free survival in rectal cancer patients following neoadjuvant chemoradiotherapy and ...
Nutritional Index Nomogram Predicts Severe Complications After Liver Cancer Chemoembolization
A retrospective cohort study found that a five-factor nomogram incorporating the Prognostic Nutritional Index effectively predicted early severe complications in ...
Machine Learning Model Predicts Early Sepsis Delirium in Non-Ventilated Patients
An Extreme Gradient Boosting model using routinely collected bedside data accurately predicted delirium in non-mechanically ventilated sepsis patients during internal ...
MRI Radiomics Model Predicts Stroke Outcomes
A new machine learning model combining MRI radiomics and clinical data predicts stroke outcomes with higher accuracy than clinical or ...
Multimodal CT Model Outperforms Standard Radiology in Thymic Tumor Risk Stratification
A multimodal computed tomography framework combining habitat radiomics and Vision-Mamba deep learning outperformed conventional radiological assessment in preoperatively stratifying thymic ...
Machine Learning Shows Limited Incremental Gain in Early ICU Heart Attack Predictions
A comparative modeling study of critically ill patients with acute myocardial infarction demonstrated that early six-hour landmark mortality prediction is ...
Ultrasound Habitat Radiomics Model Predicts HER2 Status Non-Invasively in Breast Cancer
A retrospective study of 669 breast cancer patients demonstrates that integrating intratumoral and peritumoral ultrasound habitat radiomics with clinical data ...
Baseline PET Spatial Topology Improves Risk Stratification in Disseminated Lymphoma
Integrating three-dimensional spatial topology features from baseline PET/CT with volumetric burden metrics significantly improves two-year progression-free survival risk stratification in ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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