AIMC Topic: Aged

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Prognosis of major bleeding based on residual variables and machine learning for critical patients with upper gastrointestinal bleeding: A multicenter study.

Journal of critical care Oct 2, 2024
BACKGROUND: Upper gastrointestinal bleeding (UGIB) is a significant cause of morbidity and mortality worldwide. This study investigates the use of residual variables and machine learning (ML) models for predicting major bleeding in patients with seve...
Middle Aged Gastrointestinal Hemorrhage Intensive Care Units Female Aged Male Algorithms Prognosis Critical Illness Humans Machine Learning
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A machine learning algorithm for the identification elevated Lp(a) in patients with, or high-risk of having, coronary heart disease.

International journal of cardiology Oct 2, 2024
BACKGROUND: Decision tree algorithms, obtained by machine learning, provide clusters of patients with similar clinical patterns by the identification of variables that best merge with a given dependent variable.
Humans Female Risk Factors Aged Machine Learning Algorithms Coronary Disease Spain Lipoprotein(a) Adult Male Middle Aged Registries
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Development and validation of a sepsis risk index supporting early identification of ICU-acquired sepsis: an observational study.

Anaesthesia, critical care & pain medicine Oct 2, 2024
BACKGROUND: Sepsis is a threat to global health, and domestically is the major cause of in-hospital mortality. Due to increases in inpatient morbidity and mortality resulting from sepsis, healthcare providers (HCPs) would accrue significant benefits ...
Cross Infection Aged Middle Aged ROC Curve Humans Adult Risk Assessment Shock, Septic Machine Learning Sensitivity and Specificity Sepsis Critical Care Intensive Care Units Male Early Diagnosis Hospital Mortality Female
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Comparison of Patients With and Without Predicted Surgical Indication Between Clusters of Adult Spine Deformity (ASD) Patients.

Spine Oct 1, 2024
STUDY DESIGN: Multicentric, retrospective analysis of prospectively collected data.
Humans Machine Learning Retrospective Studies Female Treatment Outcome Aged Follow-Up Studies Cluster Analysis Adult Scoliosis Male Minimal Clinically Important Difference Middle Aged
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Machine learning models for discriminating clinically significant from clinically insignificant prostate cancer using bi-parametric magnetic resonance imaging.

Diagnostic and interventional radiology (Ankara, Turkey) Oct 1, 2024
PURPOSE: This study aims to demonstrate the performance of machine learning algorithms to distinguish clinically significant prostate cancer (csPCa) from clinically insignificant prostate cancer (ciPCa) in prostate bi-parametric magnetic resonance im...
Prostatic Neoplasms Neoplasm Grading Prostate Image Interpretation, Computer-Assisted Humans Middle Aged Aged Machine Learning Support Vector Machine Algorithms Male Magnetic Resonance Imaging Retrospective Studies
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Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI.

Journal of magnetic resonance imaging : JMRI Oct 1, 2024
BACKGROUND: Automated approaches may allow for fast, reproducible clinical assessment of cardiovascular diseases from MRI.
Humans Algorithms Adult Sensitivity and Specificity Male Middle Aged Deep Learning Retrospective Studies Female Reproducibility of Results Aged Cardiomyopathy, Hypertrophic Myocardial Ischemia Magnetic Resonance Imaging, Cine Image Processing, Computer-Assisted Cardiomyopathy, Dilated Heart Heart Ventricles Image Interpretation, Computer-Assisted
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Machine Learning-Based Clustering Using a 12-Lead Electrocardiogram in Patients With a Implantable Cardioverter Defibrillator to Identify Future Ventricular Arrhythmia.

Circulation journal : official journal of the Japanese Circulation Society Oct 1, 2024
BACKGROUND: Implantable cardioverter defibrillators (ICDs) reduce mortality associated with ventricular arrhythmia in high-risk patients with cardiovascular disease. Machine learning (ML) approaches are promising tools in arrhythmia research; however...
Machine Learning Tachycardia, Ventricular Retrospective Studies Humans Defibrillators, Implantable Female Aged Electrocardiography Cluster Analysis Arrhythmias, Cardiac Male Middle Aged
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Development of the machine learning model that is highly validated and easily applicable to predict radiographic knee osteoarthritis progression.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Oct 1, 2024
Many models using the aid of artificial intelligence have been recently proposed to predict the progression of knee osteoarthritis. However, previous models have not been properly validated with an external data set or have reported poor predictive p...
Middle Aged Disease Progression Radiography Osteoarthritis, Knee Retrospective Studies Female Aged Male Humans Machine Learning
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Development of learning-based predictive models for radiation-induced atrial fibrillation in non-small cell lung cancer patients by integrating patient-specific clinical, dosimetry, and diagnostic information.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Oct 1, 2024
BACKGROUND AND PURPOSE: Radiotherapy (RT) in non-small cell lung cancer (NSCLC) can induce cardiac adverse events, including atrial fibrillation (AF), despite advanced RT. This study integrates patient-specific information to develop learning-based m...
Aged Chemoradiotherapy Lung Neoplasms Male Radiation Injuries Humans Carcinoma, Non-Small-Cell Lung Middle Aged Machine Learning Atrial Fibrillation Deep Learning Female Radiotherapy Dosage
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Multi-instance learning for identifying high-risk subregions associated with synchronous distant metastasis in clear cell renal cell carcinoma.

Medical physics Oct 1, 2024
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the most common histological subtypes of renal tumors.
Kidney Neoplasms Risk Carcinoma, Renal Cell Middle Aged Image Processing, Computer-Assisted Support Vector Machine Neoplasm Metastasis Female Aged Adult Male Humans Machine Learning Tomography, X-Ray Computed
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