AIMC Topic: Aged

Clear Filters Showing 4041 to 4050 of 13244 articles

Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 6, 2024
OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 % of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR...
Infarction, Middle Cerebral Artery Thrombectomy Medical Futility Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Treatment Outcome Predictive Value of Tests Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Decision Support Techniques Retrospective Studies Tomography, X-Ray Computed Clinical Decision-Making Female Risk Factors Aged
View on PubMed DOI

Derivation and external validation of mass spectrometry-based proteomic model using machine learning algorithms to predict plaque rupture in patients with acute coronary syndrome.

Clinica chimica acta; international journal of clinical chemistry Aug 6, 2024
BACKGROUND: A poor prognosis is associated with atherosclerotic plaque rupture (PR) despite after conventional therapy for patients with acute coronary syndrome (ACS). Timely identification of PR improves the risk stratification and prognosis of ACS ...
Female Aged Male Middle Aged Cohort Studies Proteomics Mass Spectrometry Acute Coronary Syndrome Plaque, Atherosclerotic Humans Machine Learning Algorithms Biomarkers
View on PubMed DOI

Combined High-Throughput Proteomics and Random Forest Machine-Learning Approach Differentiates and Classifies Metabolic, Immune, Signaling and ECM Intra-Tumor Heterogeneity of Colorectal Cancer.

Cells Aug 6, 2024
Colorectal cancer (CRC) is a frequent, worldwide tumor described for its huge complexity, including inter-/intra-heterogeneity and tumor microenvironment (TME) variability. Intra-tumor heterogeneity and its connections with metabolic reprogramming an...
Proteomics Humans Signal Transduction Colorectal Neoplasms Epithelial-Mesenchymal Transition Tumor Microenvironment Machine Learning Random Forest Male Female Middle Aged Extracellular Matrix Aged
View on PubMed DOI

Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts.

BMC public health Aug 6, 2024
BACKGROUND: The temporal relationships across cardiometabolic diseases (CMDs) were recently conceptualized as the cardiometabolic continuum (CMC), sequence of cardiovascular events that stem from gene-environmental interactions, unhealthy lifestyle i...
Cohort Studies Longitudinal Studies Sex Factors United Kingdom Cardiometabolic Risk Factors Male Cardiovascular Diseases Middle Aged Brazil UK Biobank Humans Machine Learning Female Aged Adult
View on PubMed DOI

A Deep Learning-Based Framework for Predicting Intracerebral Hematoma Expansion Using Head Non-contrast CT Scan.

Academic radiology Aug 5, 2024
RATIONALE AND OBJECTIVES: Hematoma expansion (HE) in intracerebral hemorrhage (ICH) is a critical factor affecting patient outcomes, yet effective clinical tools for predicting HE are currently lacking. We aim to develop a fully automated framework b...
Tomography, X-Ray Computed Female Aged Sensitivity and Specificity Male Humans Prospective Studies Retrospective Studies Middle Aged Deep Learning Cerebral Hemorrhage Hematoma
View on PubMed DOI

Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Breast Cancer Through Multimodal Deep Learning Based on Ultrasound and Magnetic Resonance Imaging Images.

Academic radiology Aug 5, 2024
RATIONALE AND OBJECTIVES: Deep learning can enhance the performance of multimodal image analysis, which is known for its noninvasive attributes and complementary efficacy, in predicting axillary lymph node (ALN) metastasis. Therefore, we established ...
Predictive Value of Tests Ultrasonography, Mammary Breast Neoplasms Middle Aged Deep Learning Ultrasonography Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Axilla Multimodal Imaging Humans Retrospective Studies Female Aged Adult
View on PubMed DOI

Automated detection and classification of mandibular fractures on multislice spiral computed tomography using modified convolutional neural networks.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 5, 2024
OBJECTIVE: To evaluate the performance of convolutional neural networks (CNNs) for the automated detection and classification of mandibular fractures on multislice spiral computed tomography (MSCT).
Adolescent Aged Mandibular Fractures Humans Radiographic Image Interpretation, Computer-Assisted Adult Multidetector Computed Tomography Neural Networks, Computer Sensitivity and Specificity Tomography, Spiral Computed Retrospective Studies Male Female Middle Aged
View on PubMed DOI

Identifying Factors Associated With Fast Visual Field Progression in Patients With Ocular Hypertension Based on Unsupervised Machine Learning.

Journal of glaucoma Aug 5, 2024
PRCIS: We developed unsupervised machine learning models to identify different subtypes of patients with ocular hypertension in terms of visual field (VF) progression and discovered 4 subtypes with different trends of VF worsening. We then identified...
Risk Factors Aged Cross-Sectional Studies Intraocular Pressure Male Humans Female Vision Disorders Visual Fields Middle Aged Visual Field Tests Disease Progression Glaucoma, Open-Angle Follow-Up Studies Ocular Hypertension Unsupervised Machine Learning
View on PubMed DOI

A two-stage ensemble learning based prediction and grading model for PD-1/PD-L1 inhibitor-related cardiac adverse events: A multicenter retrospective study.

Computer methods and programs in biomedicine Aug 5, 2024
BACKGROUND: Immune-related cardiac adverse events (ircAEs) caused by programmed cell death protein-1 (PD-1) and programmed death-ligand-1 (PD-L1) inhibitors can lead to fulminant and even fatal consequences. This study aims to develop a prediction an...
Natriuretic Peptide, Brain Female Aged Immune Checkpoint Inhibitors Male B7-H1 Antigen Middle Aged Humans Peptide Fragments ROC Curve Machine Learning Programmed Cell Death 1 Receptor Algorithms Retrospective Studies
View on PubMed DOI

A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head Computed Tomography Scans After Aneurysmal Subarachnoid Hemorrhage.

World neurosurgery Aug 5, 2024
BACKGROUND: Accurate volumetric assessment of spontaneous aneurysmal subarachnoid hemorrhage (aSAH) is a labor-intensive task performed with current manual and semiautomatic methods that might be relevant for its clinical and prognostic implications....
Male Middle Aged Deep Learning Subarachnoid Hemorrhage Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Humans
View on PubMed DOI
Popular Topics
Recent Journals