AIMC Topic: Middle Aged

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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China.

Frontiers in cellular and infection microbiology Mar 14, 2025
PURPOSE: This study aimed to develop and validate a novel web-based calculator using machine learning algorithms to predict fragility fracture risk in People living with HIV (PLWH), who face increased morbidity and mortality from such fractures.
Male Female Fractures, Bone Humans Middle Aged Risk Factors HIV Infections Internet Machine Learning ROC Curve Aged Risk Assessment Algorithms Adult China Retrospective Studies
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Automatic Detection of Cognitive Impairment in Patients With White Matter Hyperintensity Using Deep Learning and Radiomics.

American journal of Alzheimer's disease and other dementias Mar 14, 2025
White matter hyperintensity (WMH) is associated with cognitive impairment. In this study, 79 patients with WMH from hospital 1 were randomly divided into a training set (62 patients) and an internal validation set (17 patients). In addition, 29 WMH p...
Middle Aged Female Humans White Matter Deep Learning Aged Neuropsychological Tests Cognitive Dysfunction Radiomics Magnetic Resonance Imaging Male
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A machine learning tool for identifying metastatic colorectal cancer in primary care.

Scandinavian journal of primary health care Mar 13, 2025
BACKGROUND: Detection of colorectal cancer (CRC) is mainly achieved by clinical assessment. As new treatments become available for metastatic CRC (MCRC), it is important to accurately identify these patients.
Humans Machine Learning Female Sweden Male Middle Aged Case-Control Studies Primary Health Care Neoplasm Metastasis Aged Aged, 80 and over Adult Colorectal Neoplasms
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Establishing a Deep Learning Model That Integrates Pretreatment and Midtreatment Computed Tomography to Predict Treatment Response in Non-Small Cell Lung Cancer.

International journal of radiation oncology, biology, physics Mar 13, 2025
PURPOSE: Patients with identical stages or similar tumor volumes can vary significantly in their responses to radiation therapy (RT) due to individual characteristics, making personalized RT for non-small cell lung cancer (NSCLC) challenging. This st...
Carcinoma, Non-Small-Cell Lung Area Under Curve Tumor Burden Aged Radiotherapy Dosage Aged, 80 and over Humans Adult Retrospective Studies ROC Curve Middle Aged Male Tomography, X-Ray Computed Lung Neoplasms Deep Learning Female Treatment Outcome
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Exploring the significance of the frontal lobe for diagnosis of schizophrenia using explainable artificial intelligence and group level analysis.

Psychiatry research. Neuroimaging Mar 13, 2025
Schizophrenia (SZ) is a complex mental disorder characterized by a profound disruption in cognition and emotion, often resulting in a distorted perception of reality. Magnetic resonance imaging (MRI) is an essential tool for diagnosing SZ which helps...
Deep Learning Female Young Adult Magnetic Resonance Imaging Adult Schizophrenia Male Frontal Lobe Middle Aged Humans Artificial Intelligence
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Multi-omics integration and machine learning identify and validate neutrophil extracellular trap-associated gene signatures in chronic rhinosinusitis with nasal polyps.

Clinical immunology (Orlando, Fla.) Mar 13, 2025
This study aimed to explore the molecular characteristics of neutrophil extracellular traps (NETs) in chronic rhinosinusitis with nasal polyps (CRSwNP). Differentially expressed gene analysis, weighted gene co-expression network analysis, and machine...
Adult Male Humans Extracellular Traps Middle Aged Machine Learning Gene Expression Profiling Neutrophils Receptors, CXCR4 Biomarkers Nasal Polyps Transcriptome Female Sinusitis Multiomics Rhinitis Chronic Disease Rhinosinusitis
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Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 13, 2025
BACKGROUND: Stroke is a major cause of mortality and permanent disability worldwide. Precise prediction of post-stroke mortality is essential for guiding treatment decisions and rehabilitation planning. The ability of Machine learning models to proce...
Predictive Value of Tests Stroke Prognosis Humans Female Reproducibility of Results Machine Learning Middle Aged Risk Factors Decision Support Techniques Aged Risk Assessment Time Factors Male
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DCE-MRI based deep learning analysis of intratumoral subregion for predicting Ki-67 expression level in breast cancer.

Magnetic resonance imaging Mar 13, 2025
OBJECTIVE: To evaluate whether deep learning (DL) analysis of intratumor subregion based on dynamic contrast-enhanced MRI (DCE-MRI) can help predict Ki-67 expression level in breast cancer.
Breast Neoplasms Middle Aged Deep Learning Contrast Media Image Interpretation, Computer-Assisted Ki-67 Antigen Dynamic Contrast Enhanced Magnetic Resonance Imaging Magnetic Resonance Imaging Breast Retrospective Studies Female Aged Humans Adult Algorithms
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Machine Learning-Based localization of the epileptogenic zone using High-Frequency oscillations from SEEG: A Real-World approach.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Mar 13, 2025
INTRODUCTION: Localizing the epileptogenic zone (EZ) using Stereo EEG (SEEG) is often challenging through manual analysis. Even methods based on signal analysis have limitations in identifying the EZ, particularly in patients with neocortical epileps...
Adult Male Middle Aged Adolescent Humans Machine Learning Female Young Adult Electroencephalography Epilepsy Epilepsy, Temporal Lobe
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Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.

Journal of gastroenterology and hepatology Mar 13, 2025
BACKGROUND: Capsule endoscopy (CE) is a valuable tool used in the diagnosis of small intestinal lesions. The study aims to systematically review the literature and provide a meta-analysis of the diagnostic accuracy, specificity, sensitivity, and nega...
Artificial Intelligence Female Sensitivity and Specificity Male Middle Aged Humans Predictive Value of Tests Capsule Endoscopy Intestine, Small Intestinal Diseases
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