AIMC Topic: Middle Aged

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Deep learning-based prediction of tumor aggressiveness in RCC using multiparametric MRI: a pilot study.

International urology and nephrology Dec 13, 2024
OBJECTIVE: To investigate the value of multiparametric magnetic resonance imaging (MRI) as a non-invasive method to predict the aggressiveness of renal cell carcinoma (RCC) by developing a convolutional neural network (CNN) model and fusing it with c...
Predictive Value of Tests Kidney Neoplasms Carcinoma, Renal Cell Multiparametric Magnetic Resonance Imaging Humans Female Aged Deep Learning Pilot Projects Neoplasm Invasiveness Male Middle Aged
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Feasibility of Sub-milliSievert Low-dose Computed Tomography with Deep Learning Image Reconstruction in Evaluating Pulmonary Subsolid Nodules: A Prospective Intra-individual Comparison Study.

Academic radiology Dec 13, 2024
RATIONALE AND OBJECTIVES: To comprehensively assess the feasibility of low-dose computed tomography (LDCT) using deep learning image reconstruction (DLIR) for evaluating pulmonary subsolid nodules, which are challenging due to their susceptibility to...
Humans Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Adult Feasibility Studies Middle Aged Prospective Studies Male Deep Learning Radiation Dosage Tomography, X-Ray Computed Signal-To-Noise Ratio Female Lung Neoplasms Aged
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ECG-based machine learning model for AF identification in patients with first ischemic stroke.

International journal of stroke : official journal of the International Stroke Society Dec 13, 2024
BACKGROUND: The recurrence rate of strokes associated with atrial fibrillation (AF) can be substantially reduced through the administration of oral anticoagulants. However, previous studies have not demonstrated a clear benefit from the universal app...
Humans Neural Networks, Computer Machine Learning Middle Aged Electrocardiography Taiwan Ischemic Stroke Female Atrial Fibrillation Aged Aged, 80 and over Male
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Machine learning-based predictive models for perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery.

Computer methods and programs in biomedicine Dec 13, 2024
BACKGROUND AND OBJECTIVE: Accurate prediction of perioperative major adverse cardiovascular events (MACEs) is crucial, as it not only aids clinicians in comprehensively assessing patients' surgical risks and tailoring personalized surgical and periop...
Aged Humans ROC Curve Male Machine Learning Bayes Theorem Middle Aged Female Coronary Artery Disease Risk Assessment Risk Factors Surgical Procedures, Operative
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Diagnosis of Fibrotic Interstitial Lung Diseases Based on the Combination of Label-Free Quantitative Multiphoton Fiber Histology and Machine Learning.

Laboratory investigation; a journal of technical methods and pathology Dec 13, 2024
Interstitial lung disease (ILD), characterized by inflammation and fibrosis, often suffers from low diagnostic accuracy and consistency. Traditional hematoxylin and eosin (H&E) staining primarily reveals cellular inflammation with limited detail on f...
Lung Diseases, Interstitial Collagen Microscopy, Fluorescence, Multiphoton Elastin Algorithms Adult Humans Male Female Machine Learning Aged Middle Aged Lung
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A Machine Learning Approach for Predicting In-Hospital Cardiac Arrest Using Single-Day Vital Signs, Laboratory Test Results, and International Classification of Disease-10 Block for Diagnosis.

Annals of laboratory medicine Dec 13, 2024
BACKGROUND: Predicting in-hospital cardiac arrest (IHCA) is crucial for potentially reducing mortality and improving patient outcomes. However, most models, which rely solely on vital signs, may not comprehensively capture the patients' risk profiles...
Humans Machine Learning Retrospective Studies Intensive Care Units Adult Male Middle Aged ROC Curve International Classification of Diseases Female Hospitalization Aged Aged, 80 and over Vital Signs Heart Arrest
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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

Journal of vascular surgery Dec 13, 2024
OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAAs) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI).
Aortography Reproducibility of Results Aortic Rupture Risk Factors Aged Denmark Aged, 80 and over Predictive Value of Tests Decision Support Techniques Aortic Aneurysm, Abdominal Risk Assessment Prognosis Computed Tomography Angiography Case-Control Studies Retrospective Studies Decision Trees Female Male Humans Middle Aged Artificial Intelligence
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Deep learning-assistance significantly increases the detection sensitivity of neurosurgery residents for intracranial aneurysms in subarachnoid hemorrhage.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Dec 13, 2024
OBJECTIVE: The purpose of this study was to evaluate the effectiveness of a deep learning model (DLM) in improving the sensitivity of neurosurgery residents to detect intracranial aneurysms on CT angiography (CTA) in patients with aneurysmal subarach...
Intracranial Aneurysm Subarachnoid Hemorrhage Neurosurgery Computed Tomography Angiography Internship and Residency Sensitivity and Specificity Male Middle Aged Deep Learning Female Aged Humans Adult
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Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.

Clinical biochemistry Dec 13, 2024
BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) are in high demand. Although underutilized, extracellular matrix (ECM) components offer significant diagnostic potential. This study evaluates ECM-relat...
Hyaluronic Acid Extracellular Matrix Aged Boosting Machine Learning Algorithms Adult Male Humans Middle Aged Machine Learning Liver Cirrhosis Biomarkers Female
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A web-based tool for cancer risk prediction for middle-aged and elderly adults using machine learning algorithms and self-reported questions.

Annals of epidemiology Dec 13, 2024
BACKGROUND: From a global perspective, China is one of the countries with higher incidence and mortality rates for cancer.
Male Middle Aged Risk Assessment Neoplasms Internet Self Report China Longitudinal Studies Machine Learning Algorithms Female Aged Humans
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