AIMC Topic: Aged

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Unsupervised machine learning clustering approach for hospitalized COVID-19 pneumonia patients.

BMC pulmonary medicine Feb 8, 2025
BACKGROUND: Identification of distinct clinical phenotypes of diseases can guide personalized treatment. This study aimed to classify hospitalized COVID-19 pneumonia subgroups using an unsupervised machine learning approach.
COVID-19 Female SARS-CoV-2 Hospitalization Middle Aged Cluster Analysis Unsupervised Machine Learning Aged Male Humans Proportional Hazards Models
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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.

Scientific reports Feb 8, 2025
Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major cause of death. We analyzed longitudinal data with a median 19-month follow-up. BC was diagnosed with ultrasounds and MRCP. Missing data was imputed u...
Humans Risk Factors Middle Aged Machine Learning Adult Postoperative Complications Aged Biliary Tract Diseases Female Survival Rate Liver Transplantation Male
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Advancing Alzheimer's disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study.

BMJ open Feb 8, 2025
OBJECTIVES: Alzheimer's disease (AD) poses a significant challenge for individuals aged 65 and older, being the most prevalent form of dementia. Although existing AD risk prediction tools demonstrate high accuracy, their complexity and limited access...
Risk Assessment Logistic Models Alzheimer Disease Humans Machine Learning Female Risk Factors Cross-Sectional Studies Male Middle Aged Aged Aged, 80 and over
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Analyzing patterns of frequent mental distress in Alzheimer's patients: A generative AI approach.

Journal of the National Medical Association Feb 8, 2025
This study tackles creating Python code for beginners with generative AI and analyzing trends in mental distress among Alzheimer's patients in the US (2015-2022 CDC data). It guides beginners through using AI to generate code for visualizing these tr...
Aged, 80 and over Male United States Middle Aged Age Factors Humans Stress, Psychological Alzheimer Disease Artificial Intelligence Sex Factors Female Aged
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Deep Learning Reconstruction Combined With Conventional Acceleration Improves Image Quality of 3 T Brain MRI and Does Not Impact Quantitative Diffusion Metrics.

Investigative radiology Feb 7, 2025
OBJECTIVES: Deep learning reconstruction of magnetic resonance imaging (MRI) allows to either improve image quality of accelerated sequences or to generate high-resolution data. We evaluated the interaction of conventional acceleration and Deep Resol...
Humans Prospective Studies Brain Female Aged Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Artifacts Adult Diffusion Magnetic Resonance Imaging Male Echo-Planar Imaging Middle Aged Deep Learning
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Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning.

Journal of clinical monitoring and computing Feb 7, 2025
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging evidence that optimization of rSO may improve neurological and non-neurological outcomes. To manipulate rSO an understanding of the variables that drive its...
Male Middle Aged Carbon Dioxide Spectroscopy, Near-Infrared Hemodynamics Oxygen Saturation Cerebrovascular Circulation Oxygen Oximetry Female Monitoring, Intraoperative Signal Processing, Computer-Assisted Humans Reproducibility of Results ROC Curve Machine Learning Supervised Machine Learning Aged Algorithms Adult Brain
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A Hybrid Machine Learning CT-Based Radiomics Nomogram for Predicting Cancer-Specific Survival in Curatively Resected Colorectal Cancer.

Academic radiology Feb 7, 2025
RATIONALE AND OBJECTIVES: To develop and validate a computed tomography-based radiomics nomogram for cancer-specific survival (CSS) prediction in curatively resected colorectal cancer (CRC), and its performance was compared with the American Joint Co...
Male Middle Aged Nomograms Neoplasm Staging Female Aged Colorectal Neoplasms Radiomics Prospective Studies Prognosis Tomography, X-Ray Computed Humans Machine Learning
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Network Analysis and Machine Learning for Signal Detection and Prioritization Using Electronic Healthcare Records and Administrative Databases: A Proof of Concept in Drug-Induced Acute Myocardial Infarction.

Drug safety Feb 7, 2025
BACKGROUND: Safety signals for potential drug-induced adverse events (AEs) typically emerge from multiple data sources, primarily spontaneous reporting systems, despite known limitations. Increasingly, real-world data from sources such as electronic ...
Machine Learning Databases, Factual Electronic Health Records Female Humans Myocardial Infarction Drug-Related Side Effects and Adverse Reactions Cross-Over Studies Proof of Concept Study Adverse Drug Reaction Reporting Systems Aged Male Middle Aged Italy
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Integration of radiomic and deep features to reliably differentiate benign renal lesions from renal cell carcinoma.

European journal of radiology Feb 7, 2025
PURPOSE: Accurate differentiation of benign renal lesions from renal cell carcinoma (RCC) is crucial for optimized management, particularly for small renal lesions (≤4 cm in diameter). This study aimed to integrate clinical data, radiomic features, a...
Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Aged Radiomics Humans Kidney Neoplasms Deep Learning Aged, 80 and over Male Carcinoma, Renal Cell Retrospective Studies Diagnosis, Differential Middle Aged Adult Tomography, X-Ray Computed Female
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Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.

JMIR medical informatics Feb 7, 2025
BACKGROUND: Chronic kidney disease (CKD) is a prevalent condition with significant global health implications. Early detection and management are critical to prevent disease progression and complications. Deep learning (DL) models using retinal image...
Glomerular Filtration Rate Humans Retina Aged Female Young Adult Urinalysis Adult Male Middle Aged Deep Learning Renal Insufficiency, Chronic
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