AIMC Topic: Middle Aged

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Intravoxel incoherent motion and diffusion kurtosis imaging and their machine-learning-based texture analysis for detection and assessment of prostate cancer severity at 3 T.

NMR in biomedicine Mar 31, 2024
OBJECTIVES: To evaluate the role of combined intravoxel incoherent motion and diffusion kurtosis imaging (IVIM-DKI) and their machine-learning-based texture analysis for the detection and assessment of severity in prostate cancer (PCa).
Middle Aged Humans Machine Learning ROC Curve Aged Prostatic Neoplasms Male Motion Diffusion Magnetic Resonance Imaging
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Identifying low acuity Emergency Department visits with a machine learning approach: The low acuity visit algorithms (LAVA).

Health services research Mar 30, 2024
OBJECTIVE: To improve the performance of International Classification of Disease (ICD) code rule-based algorithms for identifying low acuity Emergency Department (ED) visits by using machine learning methods and additional covariates.
Young Adult Adult Male Middle Aged Adolescent Child, Preschool Child Logistic Models United States Humans Machine Learning Algorithms Female Aged Age Factors Emergency Service, Hospital International Classification of Diseases Patient Acuity Emergency Room Visits Sex Factors
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Echocardiographic Detection of Regional Wall Motion Abnormalities Using Artificial Intelligence Compared to Human Readers.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Mar 30, 2024
BACKGROUND: Although regional wall motion abnormality (RWMA) detection is foundational to transthoracic echocardiography, current methods are prone to interobserver variability. We aimed to develop a deep learning (DL) model for RWMA assessment and c...
Deep Learning Reproducibility of Results Ventricular Dysfunction, Left Aged Humans Image Interpretation, Computer-Assisted Male Observer Variation Artificial Intelligence Echocardiography Female Middle Aged
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Exploratory analysis using machine learning algorithms to predict pinch strength by anthropometric and socio-demographic features.

International journal of occupational safety and ergonomics : JOSE Mar 30, 2024
. This study examines the role of different machine learning (ML) algorithms to determine which socio-demographic factors and hand-forearm anthropometric dimensions can be used to accurately predict hand function. . The cross-sectional study was cond...
Forearm Pinch Strength Socioeconomic Factors Hand Iran Anthropometry Female Aged Cross-Sectional Studies Aged, 80 and over Humans Male Young Adult Machine Learning Middle Aged Adult Algorithms Adolescent Child
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Evaluating convolutional neural network-enhanced electrocardiography for hypertrophic cardiomyopathy detection in a specialized cardiovascular setting.

Heart and vessels Mar 30, 2024
The efficacy of convolutional neural network (CNN)-enhanced electrocardiography (ECG) in detecting hypertrophic cardiomyopathy (HCM) and dilated HCM (dHCM) remains uncertain in real-world applications. This retrospective study analyzed data from 19,1...
Female Aged Adult Male Middle Aged Electrocardiography Predictive Value of Tests Cardiomyopathy, Hypertrophic Humans Neural Networks, Computer Retrospective Studies
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Diastolic function assessment with four-dimensional flow cardiovascular magnetic resonance using automatic deep learning E/A ratio analysis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 30, 2024
BACKGROUND: Diastolic left ventricular (LV) dysfunction is a powerful contributor to the symptoms and prognosis of patients with heart failure. In patients with depressed LV systolic function, the E/A ratio, the ratio between the peak early (E) and t...
Automation Humans Myocardial Ischemia Female Echocardiography, Doppler Male Reproducibility of Results Magnetic Resonance Imaging, Cine Blood Flow Velocity Aged Ventricular Function, Left Diastole Middle Aged Predictive Value of Tests Deep Learning Mitral Valve Chronic Disease Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted
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Deceased-Donor Kidney Transplant Outcome Prediction Using Artificial Intelligence to Aid Decision-Making in Kidney Allocation.

ASAIO journal (American Society for Artificial Internal Organs : 1992) Mar 29, 2024
In kidney transplantation, pairing recipients with the highest longevity with low-risk allografts to optimize graft-donor survival is a complex challenge. Current risk prediction models exhibit limited discriminative and calibration capabilities and ...
Kidney Transplantation Female Adult Male Middle Aged Humans Artificial Intelligence Machine Learning Tissue Donors Graft Survival Tissue and Organ Procurement
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Optimal Implant Sizing Using Machine Learning Is Associated With Increased Range of Motion After Cervical Disk Arthroplasty.

Neurosurgery Mar 29, 2024
BACKGROUND AND OBJECTIVES: Cervical disk arthroplasty (CDA) offers the advantage of motion preservation in the treatment of focal cervical pathology. At present, implant sizing is performed using subjective tactile feedback and imaging of trial cages...
Male Machine Learning Cervical Vertebrae Middle Aged Retrospective Studies Range of Motion, Articular Humans Treatment Outcome Female Intervertebral Disc Degeneration Prostheses and Implants Aged Arthroplasty Adult Intervertebral Disc
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Deep learning-based quantification of total bleeding volume and its association with complications, disability, and death in patients with aneurysmal subarachnoid hemorrhage.

Journal of neurosurgery Mar 29, 2024
OBJECTIVE: The relationships between immediate bleeding severity, postoperative complications, and long-term functional outcomes in patients with aneurysmal subarachnoid hemorrhage (aSAH) remain uncertain. Here, the authors apply their recently devel...
Adult Male Middle Aged Postoperative Complications Deep Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Hydrocephalus Subarachnoid Hemorrhage Humans
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Using machine learning to predict outcomes of patients with blunt traumatic aortic injuries.

The journal of trauma and acute care surgery Mar 29, 2024
BACKGROUND: The optimal management of blunt thoracic aortic injury (BTAI) remains controversial, with experienced centers offering therapy ranging from medical management to TEVAR. We investigated the utility of a machine learning (ML) algorithm to d...
Thoracic Injuries Retrospective Studies Wounds, Nonpenetrating Female Registries Risk Factors Adult Aorta, Thoracic Humans Male Endovascular Procedures Machine Learning Middle Aged Injury Severity Score Algorithms Hospital Mortality Vascular System Injuries Prognosis Logistic Models
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