AIMC Topic: Middle Aged

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Incremental inputs improve the automated detection of implant loosening using machine-learning algorithms.

The bone & joint journal Jun 1, 2020
AIMS: The aim of this study was to evaluate the ability of a machine-learning algorithm to diagnose prosthetic loosening from preoperative radiographs and to investigate the inputs that might improve its performance.
Radiography Knee Prosthesis Prosthesis Failure Humans Aged Machine Learning Male Algorithms Middle Aged Female Postoperative Complications
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Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning.

Korean journal of radiology Jun 1, 2020
OBJECTIVE: To evaluate the accuracy of a deep learning-based automated segmentation of the left ventricle (LV) myocardium using cardiac CT.
Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Sensitivity and Specificity Male Middle Aged Humans Deep Learning Coronary Artery Disease Heart Ventricles Automation
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Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.
Caregivers Female Communication Male Middle Aged Interviews as Topic Humans Proof of Concept Study Family Machine Learning Anxiety Algorithms Speech Language
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The Use of Random Forests to Identify Brain Regions on Amyloid and FDG PET Associated With MoCA Score.

Clinical nuclear medicine Jun 1, 2020
PURPOSE: The aim of this study was to evaluate random forests (RFs) to identify ROIs on F-florbetapir and F-FDG PET associated with Montreal Cognitive Assessment (MoCA) score.
Image Processing, Computer-Assisted Aniline Compounds Positron-Emission Tomography Amyloid Fluorodeoxyglucose F18 Ethylene Glycols Female Aged Male Middle Aged Humans Machine Learning Brain
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Diagnostic classification of solitary pulmonary nodules using support vector machine model based on 2-[18F]fluoro-2-deoxy-D-glucose PET/computed tomography texture features.

Nuclear medicine communications Jun 1, 2020
PURPOSE: This study aimed to evaluate the diagnostic value of a support vector machine (SVM) model built with texture features based on standard 2-[F]fluoro-2-deoxy-D-glucose (F-FDG) PET in patients with solitary pulmonary nodules (SPNs) at a volume ...
Image Processing, Computer-Assisted Support Vector Machine Solitary Pulmonary Nodule Positron Emission Tomography Computed Tomography Female Male Middle Aged ROC Curve Tumor Burden Fluorodeoxyglucose F18 Humans Retrospective Studies
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Effects of trunk stabilization training robot on postural control and gait in patients with chronic stroke: a randomized controlled trial.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation Jun 1, 2020
Our study aimed to confirm the therapeutic effects of using a trunk stabilization training robot (3DBT-33) in patients with chronic stroke. A total of 38 patients with chronic stroke were randomly assigned to either an experimental or a control group...
Male Middle Aged Robotics Postural Balance Disability Evaluation Humans Female Stroke Rehabilitation Gait Disorders, Neurologic
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Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy.

Cornea Jun 1, 2020
PURPOSE: To evaluate the ability of deep learning (DL) models to detect obstructive meibomian gland dysfunction (MGD) using in vivo laser confocal microscopy images.
Follow-Up Studies Constriction, Pathologic Meibomian Glands Meibomian Gland Dysfunction Young Adult Adult Retrospective Studies Male Female Child Middle Aged Aged ROC Curve Aged, 80 and over Microscopy, Confocal Humans Deep Learning Neural Networks, Computer Adolescent
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Concordance Study in Hepatectomy Recommendations Between Watson for Oncology and Clinical Practice for Patients with Hepatocellular Carcinoma in China.

World journal of surgery Jun 1, 2020
BACKGROUND: With the improvement in diagnostic imaging, perioperative care and surgical technique, the indications and complexity of liver resections have developed. However, the surgical indications remain controversial especially for some complex o...
Humans Artificial Intelligence Retrospective Studies Female Liver Neoplasms Carcinoma, Hepatocellular Decision Support Systems, Clinical Aged Medical Oncology Adult Hepatectomy Male Middle Aged
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A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma.

Spine May 15, 2020
STUDY DESIGN: Retrospective analysis of magnetic resonance imaging (MRI).
Male Middle Aged Deep Learning Magnetic Resonance Imaging Retrospective Studies Female Aged Adult Meningeal Neoplasms Diagnosis, Differential Radiologists Neurilemmoma Meningioma Humans Neural Networks, Computer Algorithms
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Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention.

The Journal of invasive cardiology May 1, 2020
INTRODUCTION: The purpose of the current study is to determine the accuracy of machine learning in predicting bleeding outcomes post percutaneous coronary intervention (PCI) in comparison with the American College of Cardiology CathPCI bleeding risk ...
Percutaneous Coronary Intervention Risk Factors Aged Humans Risk Assessment Male Machine Learning Middle Aged United States Retrospective Studies Treatment Outcome Female Registries
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