AIMC Topic: Middle Aged

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Transthoracic echocardiography monitoring during ASD closure using an artificial hand system.

Cardiovascular ultrasound Jun 17, 2020
AIM: Continuous real-time echocardiographic monitoring is essential for guidance during ASD closure. However, transthoracic echocardiography (TTE) can only be implemented intermittently during fluoroscopy. We evaluate a novel approach to provide real...
Heart Septal Defects, Atrial Young Adult Adult Male Echocardiography Middle Aged Adolescent Child, Preschool Humans Child Artificial Intelligence Monitoring, Intraoperative Female Equipment Design Ultrasonography, Interventional Cardiac Catheterization
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Deep learning-based survival prediction for multiple cancer types using histopathology images.

PloS one Jun 17, 2020
Providing prognostic information at the time of cancer diagnosis has important implications for treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and clinical variables can provide useful prognostic ...
Age Factors Male Datasets as Topic Neoplasm Staging Humans Middle Aged Feasibility Studies Risk Assessment Prognosis Sex Factors Female Survival Analysis Neoplasms Risk Factors Deep Learning Adult Image Processing, Computer-Assisted
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Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.

International journal of computer assisted radiology and surgery Jun 16, 2020
PURPOSE: Neoadjuvant chemotherapy (NAC) aims to minimize the tumor size before surgery. Predicting response to NAC could reduce toxicity and delays to effective intervention. Computational analysis of dynamic contrast-enhanced magnetic resonance imag...
Humans Neural Networks, Computer Retrospective Studies Female Adult Breast Neoplasms Magnetic Resonance Imaging Middle Aged Area Under Curve Antineoplastic Agents Chemotherapy, Adjuvant Diagnosis, Computer-Assisted ROC Curve Deep Learning Image Processing, Computer-Assisted Treatment Outcome Neoadjuvant Therapy Contrast Media
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Optimal length of R-R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning.

Biomedical engineering online Jun 16, 2020
BACKGROUND: Heartbeat interval Lorenz plot (LP) imaging is a promising method for detecting atrial fibrillation (AF) in long-term monitoring, but the optimal segment window length for the LP images is unknown. We examined the performance of AF detect...
Heart Rate Aged Male Middle Aged Electrocardiography Signal Processing, Computer-Assisted Atrial Fibrillation Humans Neural Networks, Computer Databases, Factual Female
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Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has significant nonresponse rates, highlighting limitations in ECG selection criteria: QRS duration (QRSd) ≥150 ms and subjective labeling of left bundle branch b...
Unsupervised Machine Learning Recovery of Function Predictive Value of Tests Signal Processing, Computer-Assisted Heart Failure Cardiac Resynchronization Therapy Disease Progression Diagnosis, Computer-Assisted Time Factors Electrocardiography Treatment Outcome Heart-Assist Devices Heart Transplantation Bundle-Branch Block Humans Retrospective Studies Female Risk Factors Aged Male Ventricular Function, Left Stroke Volume Middle Aged Risk Assessment
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Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a m...
Retrospective Studies Female Reproducibility of Results Risk Factors Aged Male Humans Machine Learning Proof of Concept Study Organometallic Compounds Recurrence Models, Cardiovascular Patient-Specific Modeling Magnetic Resonance Imaging Pulmonary Veins Middle Aged Action Potentials Meglumine Risk Assessment Predictive Value of Tests Diagnosis, Computer-Assisted Atrial Fibrillation Treatment Outcome Heart Rate Contrast Media Catheter Ablation
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Can robotic gait rehabilitation plus Virtual Reality affect cognitive and behavioural outcomes in patients with chronic stroke? A randomized controlled trial involving three different protocols.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 13, 2020
BACKGROUND: The rehabilitation of cognitive and behavioral abnormalities in individuals with stroke is essential for promoting patient's recovery and autonomy. The aim of our study is to evaluate the effects of robotic neurorehabilitation using Lokom...
Executive Function Humans Exercise Therapy Female Attention Activities of Daily Living Affect Virtual Reality Exposure Therapy Time Factors Robotics Stroke Rehabilitation Cognition Disability Evaluation Adult Treatment Outcome Italy Mental Health Health Status Stroke Male Recovery of Function Gait Middle Aged Chronic Disease Quality of Life
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Deep-Learning F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Jun 12, 2020
Total metabolic tumor volume (TMTV), calculated from F-FDG PET/CT baseline studies, is a prognostic factor in diffuse large B-cell lymphoma (DLBCL) whose measurement requires the segmentation of all malignant foci throughout the body. No consensus cu...
Deep Learning Cohort Studies Image Processing, Computer-Assisted Biological Transport Positron-Emission Tomography Tumor Burden Aged Adult Lymphoma, Large B-Cell, Diffuse Male Middle Aged Fluorodeoxyglucose F18 Humans Software Retrospective Studies Female
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Binary CorNET: Accelerator for HR Estimation From Wrist-PPG.

IEEE transactions on biomedical circuits and systems Jun 11, 2020
Research on heart rate (HR) estimation using wrist-worn photoplethysmography (PPG) sensors have progressed rapidly owing to the prominence of commercial sensing modules, used widely for lifestyle monitoring. Reported methodologies have been fairly su...
Signal Processing, Computer-Assisted Wrist Humans Heart Rate Middle Aged Neural Networks, Computer Accelerometry Adolescent Algorithms Wearable Electronic Devices Young Adult Photoplethysmography Adult Equipment Design
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Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer.

Nature communications Jun 11, 2020
Colonoscopy is commonly used to screen for colorectal cancer (CRC). We develop a deep learning model called CRCNet for optical diagnosis of CRC by training on 464,105 images from 12,179 patients and test its performance on 2263 patients from three in...
Colorectal Neoplasms Male Gastroenterology Middle Aged Colonoscopy Deep Learning Humans Machine Learning Retrospective Studies Female Aged
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