AIMC Topic: Aged, 80 and over

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Causes of death in individuals with lifetime major depression: a comprehensive machine learning analysis from a community-based autopsy center.

BMC psychiatry Jul 24, 2024
BACKGROUND: Depression can be associated with increased mortality and morbidity, but no studies have investigated the specific causes of death based on autopsy reports. Autopsy studies can yield valuable and detailed information on pathological ailme...
Case-Control Studies Cause of Death Autopsy Aged, 80 and over Adult Male Middle Aged Depressive Disorder, Major Humans Machine Learning Female Aged
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Development and validation of radiology-clinical statistical and machine learning model for stroke-associated pneumonia after first intracerebral haemorrhage.

BMC pulmonary medicine Jul 24, 2024
BACKGROUND: Society is burdened with stroke-associated pneumonia (SAP) after intracerebral haemorrhage (ICH). Cerebral small vessel disease (CSVD) complicates clinical manifestations of stroke. In this study, we redefined the CSVD burden score and in...
Cerebral Hemorrhage Pneumonia Stroke Cerebral Small Vessel Diseases Humans Aged, 80 and over Retrospective Studies Machine Learning Male Tomography, X-Ray Computed Middle Aged Female Logistic Models Risk Factors Models, Statistical Aged
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Deep Learning Reconstruction of Prospectively Accelerated MRI of the Pancreas: Clinical Evaluation of Shortened Breath-Hold Examinations With Dixon Fat Suppression.

Investigative radiology Jul 23, 2024
OBJECTIVE: Deep learning (DL)-enabled magnetic resonance imaging (MRI) reconstructions can enable shortening of breath-hold examinations and improve image quality by reducing motion artifacts. Prospective studies with DL reconstructions of accelerate...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Pancreatic Diseases Image Interpretation, Computer-Assisted Artifacts Pancreas Signal-To-Noise Ratio Breath Holding Aged, 80 and over Adult Male Middle Aged Deep Learning Humans Prospective Studies Female Aged
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Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.

The international journal of cardiovascular imaging Jul 23, 2024
Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based...
Antineoplastic Agents Predictive Value of Tests Heart Ventricles Ventricular Remodeling Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Observer Variation Cardiotoxicity Ventricular Function, Left Stroke Volume Female Echocardiography Reproducibility of Results Humans Aged Middle Aged Artificial Intelligence Aged, 80 and over Neoplasms Retrospective Studies Male
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Machine learning for automating subjective clinical assessment of gait impairment in people with acquired brain injury - a comparison of an image extraction and classification system to expert scoring.

Journal of neuroengineering and rehabilitation Jul 23, 2024
BACKGROUND: Walking impairment is a common disability post acquired brain injury (ABI), with visually evident arm movement abnormality identified as negatively impacting a multitude of psychological factors. The International Classification of Functi...
Adult Cross-Sectional Studies Male Middle Aged Diagnosis, Computer-Assisted Female Reproducibility of Results Aged Aged, 80 and over Young Adult Video Recording Gait Analysis Movement Gait Disorders, Neurologic Brain Injuries, Traumatic Random Forest Stroke Gait Arm Humans Machine Learning
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Risk prediction of kalaemia disturbance and acute kidney injury after total knee arthroplasty: use of a machine learning algorithm.

Orthopaedics & traumatology, surgery & research : OTSR Jul 22, 2024
INTRODUCTION: Total knee arthroplasty (TKA) is a procedure associated with risks of electrolyte and kidney function disorders, which are rare but can lead to serious complications if not correctly identified. A routine check-up is very often carried ...
Risk Factors Aged Aged, 80 and over Male Middle Aged Risk Assessment Postoperative Complications Potassium Arthroplasty, Replacement, Knee Hyperkalemia Machine Learning Algorithms Retrospective Studies Acute Kidney Injury Female Hypokalemia Humans
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What factors preventing the older adults in China from living longer: a machine learning study.

BMC geriatrics Jul 22, 2024
BACKGROUND: The fact that most older people do not live long means that they do not have more time to pursue self-actualization and contribute value to society. Although there are many studies on the longevity of the elderly, the limitations of tradi...
Humans Machine Learning China Longitudinal Studies Algorithms Activities of Daily Living Female Longevity Aged Aged, 80 and over Male
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Constructing prediction models and analyzing factors in suicidal ideation using machine learning, focusing on the older population.

PloS one Jul 22, 2024
Suicide among the older population is a significant public health concern in South Korea. As the older individuals have long considered suicide before committing suicide trials, it is important to analyze the suicidal ideation that precedes the suici...
Middle Aged Risk Factors Humans Suicide, Attempted Health Status Aged Machine Learning Suicidal Ideation Aged, 80 and over Algorithms Logistic Models Mental Health Republic of Korea Socioeconomic Factors Male Female
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Utility of Thin-slice Fat-suppressed Single-shot T2-weighted MR Imaging with Deep Learning Image Reconstruction as a Protocol for Evaluating the Pancreas.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jul 21, 2024
PURPOSE: To compare the utility of thin-slice fat-suppressed single-shot T2-weighted imaging (T2WI) with deep learning image reconstruction (DLIR) and conventional fast spin-echo T2WI with DLIR for evaluating pancreatic protocol.
Retrospective Studies Female Aged Aged, 80 and over Male Humans Adipose Tissue Pancreatic Neoplasms Image Interpretation, Computer-Assisted Pancreas Signal-To-Noise Ratio Gadolinium DTPA Middle Aged Deep Learning Image Processing, Computer-Assisted Contrast Media Magnetic Resonance Imaging
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ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden.

Acta anaesthesiologica Scandinavica Jul 21, 2024
BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU) is of potential benefit to both patients and society. Logistic regression models like Simplified Acute Physiology Score 3 (SAPS 3) and APACHE are th...
Hospital Mortality Logistic Models Registries Simplified Acute Physiology Score Machine Learning Intensive Care Units Female Sweden Aged Aged, 80 and over Adult Male Middle Aged Risk Assessment Humans
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