AIMC Topic: Aged, 80 and over

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Deep learning based mild cognitive impairment diagnosis using structure MR images.

Neuroscience letters May 4, 2020
Mild cognitive impairment (MCI) is an early sign of Alzheimer's disease (AD) which is the fourth leading disease mostly found in the aged population. Early intervention of MCI will possibly delay the progress towards AD, and this makes it very import...
Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Humans Brain Aged Aged, 80 and over Deep Learning Cognitive Dysfunction
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Humans Machine Learning Databases, Factual Iatrogenic Disease Pneumothorax Uterine Artery Embolization Length of Stay Adolescent Time Factors Child, Preschool Child Hospital Mortality United States Inpatients Young Adult Retrospective Studies Data Mining Adult Female Radiography, Interventional Male Infant, Newborn Image-Guided Biopsy Middle Aged Portasystemic Shunt, Transjugular Intrahepatic Risk Factors Risk Assessment Infant Aged Aged, 80 and over
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An Open-Source Computer Vision Tool for Automated Vocal Fold Tracking From Videoendoscopy.

The Laryngoscope May 1, 2020
OBJECTIVES: Contemporary clinical assessment of vocal fold adduction and abduction is qualitative and subjective. Herein is described a novel computer vision tool for automated quantitative tracking of vocal fold motion from videolaryngoscopy. The po...
Case-Control Studies Deep Learning Video Recording Vocal Cord Paralysis Vocal Cords Laryngoscopy Female Aged Aged, 80 and over Adult Male Middle Aged Humans Software Computers
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Applying machine learning methods to develop a successful aging maintenance prediction model based on physical fitness tests.

Geriatrics & gerontology international May 1, 2020
AIM: The purpose of this study was to develop a machine learning prediction model for successful aging (SA) based on physical fitness tests.
Aged Aged, 80 and over Sensitivity and Specificity Male Aging Middle Aged Humans Machine Learning Female Decision Trees Predictive Value of Tests Geriatric Assessment Physical Fitness Independent Living Healthy Aging Exercise China Surveys and Questionnaires ROC Curve Logistic Models Follow-Up Studies
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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.

Computers in biology and medicine Apr 30, 2020
Fast diagnostic methods can control and prevent the spread of pandemic diseases like coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in high workload conditions. Although a laboratory test is the current routine di...
Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Lung Humans Coronavirus Infections Female Deep Learning Neural Networks, Computer Betacoronavirus SARS-CoV-2 Computational Biology Artificial Intelligence Pneumonia, Viral Aged Pneumonia Pandemics Aged, 80 and over COVID-19 Adult
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Combined robotic approach and enhanced recovery after surgery pathway for optimization of costs in patients undergoing proctectomy.

BJS open Apr 30, 2020
BACKGROUND: Enhanced recovery after surgery (ERAS) pathways are beneficial in proctocolectomy, but their impact on robotic low rectal proctectomy is not fully investigated. This study assessed the impact of an ERAS pathway on the outcomes and cost of...
Length of Stay Robotics Laparoscopy Tertiary Care Centers Humans Female Costs and Cost Analysis Rectal Neoplasms Retrospective Studies Aged Enhanced Recovery After Surgery France Aged, 80 and over Proctectomy Adult Male Middle Aged
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Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study.

European radiology Apr 29, 2020
OBJECTIVES: To build models based on conventional logistic regression (LR) and machine learning (ML) algorithms combining clinical, morphological, and hemodynamic information to predict individual rupture status of unruptured intracranial aneurysms (...
Male Clinical Decision Rules Middle Aged Hemodynamics China Support Vector Machine Tomography, X-Ray Computed Adolescent Humans Area Under Curve Female Logistic Models Neural Networks, Computer Computed Tomography Angiography Aged Machine Learning Cerebral Angiography Aged, 80 and over Computer Simulation Aneurysm, Ruptured Young Adult Retrospective Studies Intracranial Aneurysm Adult
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Predicting the Risk of Inpatient Hypoglycemia With Machine Learning Using Electronic Health Records.

Diabetes care Apr 29, 2020
OBJECTIVE: We analyzed data from inpatients with diabetes admitted to a large university hospital to predict the risk of hypoglycemia through the use of machine learning algorithms.
Blood Glucose Cohort Studies Models, Theoretical Inpatients Predictive Value of Tests Area Under Curve Hypoglycemia United Kingdom Medical History Taking Humans Female Machine Learning Hospitalization Algorithms Aged Prognosis Aged, 80 and over Electronic Health Records Male Middle Aged
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Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.

AJR. American journal of roentgenology Apr 29, 2020
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET, the utility of deep machine learning with a convolutional neural network (CNN) in predicting the potential of newly diagnosed non-small cell lung can...
Female Aged Aged, 80 and over Adult Sensitivity and Specificity Positron Emission Tomography Computed Tomography Male Middle Aged Radiopharmaceuticals Imaging, Three-Dimensional Neoplasm Metastasis Humans Lung Neoplasms Fluorodeoxyglucose F18 Neural Networks, Computer Carcinoma, Non-Small-Cell Lung Retrospective Studies Lymphatic Metastasis Predictive Value of Tests
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Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy.

Physics in medicine and biology Apr 28, 2020
In-room imaging is a prerequisite for adaptive proton therapy. The use of onboard cone-beam computed tomography (CBCT) imaging, which is routinely acquired for patient position verification, can enable daily dose reconstructions and plan adaptation d...
Female Radiometry Aged Cone-Beam Computed Tomography Humans Aged, 80 and over Image Processing, Computer-Assisted Neural Networks, Computer Adult Head and Neck Neoplasms Male Radiotherapy Planning, Computer-Assisted Middle Aged Radiotherapy Dosage Proton Therapy
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