AIMC Topic: Aged

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Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database.

BMC neurology Apr 30, 2025
PURPOSE: This study aims to evaluate the survival and mortality rates of stroke patients after receiving enteral nutrition, and to explore factors influencing long-term survival. With an aging society, nutritional management of stroke patients has be...
Stroke Kaplan-Meier Estimate Enteral Nutrition Aged Aged, 80 and over Survival Rate Male Humans Middle Aged Machine Learning Databases, Factual Female
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Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study.

JMIR aging Apr 30, 2025
BACKGROUND: Cognitive impairment, indicative of Alzheimer disease and other forms of dementia, significantly deteriorates the quality of life of older adult populations and imposes considerable burdens on families and health care systems worldwide. T...
East Asian People Longevity Male China Cognitive Dysfunction Prospective Studies Longitudinal Studies Biomarkers Female Humans Aged Machine Learning Aged, 80 and over
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Harnessing an Artificial Intelligence-Based Large Language Model With Personal Health Record Capability for Personalized Information Support in Postsurgery Myocardial Infarction: Descriptive Qualitative Study.

Journal of medical Internet research Apr 30, 2025
BACKGROUND: Myocardial infarction (MI) remains a leading cause of morbidity and mortality worldwide. Although postsurgical cardiac interventions have improved survival rates, effective management during recovery remains challenging. Traditional infor...
Humans Artificial Intelligence Precision Medicine Qualitative Research Language Health Records, Personal Female Myocardial Infarction Aged Large Language Models Male Middle Aged
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Tumor grade-titude: XGBoost radiomics paves the way for RCC classification.

European journal of radiology Apr 29, 2025
This study aimed to develop and evaluate a non-invasive XGBoost-based machine learning model using radiomic features extracted from pre-treatment CT images to differentiate grade 4 renal cell carcinoma (RCC) from lower-grade tumours. A total of 102 R...
Female Reproducibility of Results Aged Aged, 80 and over Adult Humans Machine Learning Tomography, X-Ray Computed Contrast Media Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Sensitivity and Specificity Boosting Machine Learning Algorithms Radiomics Male Middle Aged
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A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 29, 2025
BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy (SBRT) is vertebral compression fracture (VCF). There is interest in the development of patient-specific tools that can predict those at high risk of...
Spinal Neoplasms Radiosurgery Spinal Fractures Fractures, Compression Risk Factors Humans Aged Machine Learning Aged, 80 and over Retrospective Studies Male Female Middle Aged
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Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.

The Journal of molecular diagnostics : JMD Apr 29, 2025
Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for identifying asymptomatic patients with cancer. However, most focus on a single cancer hallmark, thus limiting effectiveness because of cancer's heterogen...
Algorithms Neoplasms Adult Prospective Studies Genomics Humans Sensitivity and Specificity Retrospective Studies Multiomics Biomarkers, Tumor Early Detection of Cancer Female Male Whole Genome Sequencing Aged Middle Aged
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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Humans Female Reproducibility of Results Aged Male Observer Variation Predictive Value of Tests Automation Middle Aged Atrial Fibrillation Blood Flow Velocity Deep Learning Heart Atria Atrial Function, Left Time Factors Heart Rate Magnetic Resonance Imaging, Cine Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Artificial intelligence-assisted left ventricular global longitudinal strain assessment in patients with acute myocardial infarction: a RESUS-AMI trial sub-analysis.

The international journal of cardiovascular imaging Apr 29, 2025
PURPOSE: The aim of this sub-analysis of the RESUS-AMI trial was to evaluate the correlation of artificial intelligence (AI)-assisted echocardiographic global longitudinal strain (GLS) assessments with infarct size, left ventricular ejection fraction...
Image Interpretation, Computer-Assisted Observer Variation Magnetic Resonance Imaging, Cine Myocardial Contraction Global Longitudinal Strain Middle Aged Treatment Outcome Predictive Value of Tests ST Elevation Myocardial Infarction Percutaneous Coronary Intervention Male Ventricular Function, Left Stroke Volume Echocardiography Humans Artificial Intelligence Female Reproducibility of Results Aged
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B lymphocyte subset-based stratification in primary Sjögren's syndrome: implications for lymphoma risk and personalized treatment.

Clinical rheumatology Apr 29, 2025
OBJECTIVE: This study aimed to perform a detailed stratification analysis of B lymphocyte subsets in patients with primary Sjögren's syndrome (pSS) and to investigate their associations with lymphoma risk, clinical phenotypes, and disease activity.
Male Middle Aged Lymphoma Principal Component Analysis Flow Cytometry Female Risk Factors Aged Adult Sjogren's Syndrome B-Lymphocyte Subsets Humans Machine Learning Immunoglobulin G Precision Medicine Retrospective Studies
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Microbiome and fragmentation pattern of blood cell-free DNA and fecal metagenome enhance colorectal cancer micro-dysbiosis and diagnosis analysis: a proof-of-concept study.

mSystems Apr 29, 2025
Colorectal cancer (CRC) is the third most common cancer, and it can be prevented by performing early screening. As a hallmark of cancer, the human microbiome plays important roles in the occurrence and development of CRC. Recently, the blood microbio...
Cell-Free Nucleic Acids Adenoma Microbiota Proof of Concept Study Metagenome Male Middle Aged Feces Gastrointestinal Microbiome Dysbiosis Female Aged Adult Colorectal Neoplasms Humans
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