AIMC Topic: Aged

Clear Filters Showing 3221 to 3230 of 13189 articles

Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.

Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition Oct 25, 2024
BACKGROUND: This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality predicti...
Nutritional Status Prealbumin Hospital Mortality ROC Curve Vitamins Cholesterol Artificial Intelligence Retrospective Studies Critical Illness Intensive Care Units Male Middle Aged Trace Elements Female Aged Humans
View on PubMed DOI

Impact of non-contrast-enhanced imaging input sequences on the generation of virtual contrast-enhanced breast MRI scans using neural network.

European radiology Oct 25, 2024
OBJECTIVE: To investigate how different combinations of T1-weighted (T1w), T2-weighted (T2w), and diffusion-weighted imaging (DWI) impact the performance of virtual contrast-enhanced (vCE) breast MRI.
Retrospective Studies Female Aged Adult Breast Neoplasms Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Image Enhancement Middle Aged Diffusion Magnetic Resonance Imaging Contrast Media Magnetic Resonance Imaging Breast
View on PubMed DOI

Image quality of virtual monochromatic and material density iodine images for evaluation of head and neck neoplasms using deep learning-based CT image reconstruction - A retrospective observational study.

European journal of radiology Oct 25, 2024
PURPOSE: To compare the quality of deep learning image reconstructed (DLIR) virtual monochromatic images (VMI) and material density (MD) iodine images from dual-energy computed tomography (DECT) for the evaluation of head and neck neoplasms with CT s...
Middle Aged Aged Contrast Media Deep Learning Aged, 80 and over Humans Radiographic Image Interpretation, Computer-Assisted Adult Iodine Retrospective Studies Artifacts Male Head and Neck Neoplasms Tomography, X-Ray Computed Radiography, Dual-Energy Scanned Projection Female
View on PubMed DOI

Deep learning analysis of histopathological images predicts immunotherapy prognosis and reveals tumour microenvironment features in non-small cell lung cancer.

British journal of cancer Oct 25, 2024
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer mortality worldwide. Immune checkpoint inhibitors (ICIs) have emerged as a crucial treatment option for patients with advanced NSCLC. However, only a subset of pati...
Lung Neoplasms Immunotherapy Carcinoma, Non-Small-Cell Lung Prognosis Male Female Middle Aged Aged Deep Learning Humans Tumor Microenvironment Immune Checkpoint Inhibitors Biomarkers, Tumor
View on PubMed DOI

Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care.

Computers in biology and medicine Oct 25, 2024
BACKGROUND: Sensor-based remote health monitoring is increasingly used to detect adverse health in people living with dementia (PLwD) at home, aiming to prevent hospitalizations and reduce caregiver burden. However, home sensor data is often noisy, o...
Neural Networks, Computer Female Aged Aged, 80 and over Decision Making Telemedicine Male Dementia Humans
View on PubMed DOI

Automated Extraction of Stroke Severity From Unstructured Electronic Health Records Using Natural Language Processing.

Journal of the American Heart Association Oct 25, 2024
BACKGROUND: Multicenter electronic health records can support quality improvement and comparative effectiveness research in stroke. However, limitations of electronic health record-based research include challenges in abstracting key clinical variabl...
Male Middle Aged Severity of Illness Index Natural Language Processing Humans Stroke Electronic Health Records Data Mining Female Massachusetts Aged
View on PubMed DOI

Integrating VAI-Assisted Quantified CXRs and Multimodal Data to Assess the Risk of Mortality.

Journal of imaging informatics in medicine Oct 24, 2024
To address the unmet need for a widely available examination for mortality prediction, this study developed a foundation visual artificial intelligence (VAI) to enhance mortality risk stratification using chest X-rays (CXRs). The VAI employed deep le...
Humans Artificial Intelligence Middle Aged Risk Assessment Deep Learning Proportional Hazards Models Radiography, Thoracic Retrospective Studies Female Aged Male
View on PubMed DOI

Detection of Macular Neovascularization in Eyes Presenting with Macular Edema using OCT Angiography and a Deep Learning Model.

Ophthalmology. Retina Oct 24, 2024
PURPOSE: To test the diagnostic performance of an artificial intelligence algorithm for detecting and segmenting macular neovascularization (MNV) with OCT and OCT angiography (OCTA) in eyes with macular edema from various diagnoses.
Retinal Vein Occlusion Humans Middle Aged Deep Learning Visual Acuity Tomography, Optical Coherence Aged Fluorescein Angiography Diabetic Retinopathy Aged, 80 and over Macula Lutea Algorithms Fundus Oculi Cross-Sectional Studies Retinal Neovascularization Prospective Studies Macular Edema Male Female
View on PubMed DOI

A novel endoscopic artificial intelligence system to assist in the diagnosis of autoimmune gastritis: a multicenter study.

Endoscopy Oct 24, 2024
BACKGROUND:  Autoimmune gastritis (AIG), distinct from Helicobacter pylori-associated atrophic gastritis (HpAG), is underdiagnosed due to limited awareness. This multicenter study aimed to develop a novel endoscopic artificial intelligence (AI) syste...
Male Middle Aged ROC Curve Gastritis Autoimmune Diseases Gastritis, Atrophic Female Humans Aged Artificial Intelligence Adult Retrospective Studies Sensitivity and Specificity
View on PubMed DOI

An explainable machine learning estimated biological age based on morphological parameters of the spine.

GeroScience Oct 24, 2024
Accurately estimating biological age is beneficial for measuring aging and predicting risk. It is widely accepted that the prevalence of spine compression increases significantly with age. However, biological age based on vertebral morphological data...
Aging Middle Aged Nutrition Surveys Spine Aged Aged, 80 and over Adult Male Absorptiometry, Photon Age Determination by Skeleton Humans Machine Learning Female
View on PubMed DOI
Popular Topics
Recent Journals