AIMC Topic: Aged, 80 and over

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Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.

Japanese journal of radiology Jun 26, 2020
PURPOSE: To evaluate the performance of a deep learning-based computer-aided diagnosis (CAD) system at detecting pulmonary nodules on CT by comparing radiologists' readings with and without CAD.
Humans Middle Aged Lung Diagnosis, Computer-Assisted Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Young Adult Adult Sensitivity and Specificity Retrospective Studies Male Tomography, X-Ray Computed Female Reproducibility of Results Aged
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Speech Quality Feature Analysis for Classification of Depression and Dementia Patients.

Sensors (Basel, Switzerland) Jun 26, 2020
Loss of cognitive ability is commonly associated with dementia, a broad category of progressive brain diseases. However, major depressive disorder may also cause temporary deterioration of one's cognition known as pseudodementia. Differentiating a tr...
Depressive Disorder, Major Speech Depression Dementia Support Vector Machine Aged Aged, 80 and over Adult Humans Male Algorithms Middle Aged Female
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New machine learning method for image-based diagnosis of COVID-19.

PloS one Jun 26, 2020
COVID-19 is a worldwide epidemic, as announced by the World Health Organization (WHO) in March 2020. Machine learning (ML) methods can play vital roles in identifying COVID-19 patients by visually analyzing their chest x-ray images. In this paper, a ...
Male Middle Aged Female Coronavirus Infections SARS-CoV-2 Radiography, Thoracic X-Rays Humans Betacoronavirus Thorax Machine Learning Aged Pneumonia, Viral Pandemics Aged, 80 and over COVID-19 Adult Algorithms
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A machine learning-based prognostic predictor for stage III colon cancer.

Scientific reports Jun 25, 2020
Limited biomarkers have been identified as prognostic predictors for stage III colon cancer. To combat this shortfall, we developed a computer-aided approach which combing convolutional neural network with machine classifier to predict the prognosis ...
Humans Follow-Up Studies Adult Machine Learning Neoplasm Staging Female Male Neoplasm Recurrence, Local Prognosis Risk Factors Middle Aged Colonic Neoplasms Aged Risk Assessment Disease-Free Survival Image Interpretation, Computer-Assisted Aged, 80 and over Colon Colectomy Young Adult Kaplan-Meier Estimate
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Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults.

PloS one Jun 25, 2020
BACKGROUND: Falls in the elderly are a major public health concern because of their high incidence, the involvement of many risk factors, the considerable post-fall morbidity and mortality, and the health-related and social costs. Given that many fal...
Accidental Falls Incidence Robotics Postural Balance Geriatric Assessment Female Aged Aged, 80 and over Male Risk Assessment Humans Walking Speed Prospective Studies Independent Living
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Development of robust artificial neural networks for prediction of 5-year survival in bladder cancer.

Urologic oncology Jun 24, 2020
PURPOSE: When exploring survival outcomes for patients with bladder cancer, most studies rely on conventional statistical methods such as proportional hazards models. Given the successful application of machine learning to handle big data in many dis...
Aged Aged, 80 and over Survival Rate Male Middle Aged Cohort Studies Time Factors Urinary Bladder Neoplasms Proportional Hazards Models Humans Neural Networks, Computer Machine Learning Prognosis Female
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Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI.

Clinical research in cardiology : official journal of the German Cardiac Society Jun 24, 2020
BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indicat...
Male Risk Assessment Postoperative Complications Time Factors Hospital Mortality Retrospective Studies Female Risk Factors Aged, 80 and over Survival Rate Germany Transcatheter Aortic Valve Replacement Aortic Valve Inpatients Cause of Death Morbidity Heart Valve Diseases Humans Machine Learning
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Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.

Medical science monitor : international medical journal of experimental and clinical research Jun 18, 2020
BACKGROUND Thyroid nodules are extremely common and typically diagnosed with ultrasound whether benign or malignant. Imaging diagnosis assisted by Artificial Intelligence has attracted much attention in recent years. The aim of our study was to build...
Thyroid Nodule Thyroid Carcinoma, Anaplastic Adenoma Granuloma Carcinoma, Neuroendocrine Middle Aged Deep Learning Adolescent Thyroid Neoplasms Ultrasonography Humans Female Aged Image Interpretation, Computer-Assisted Aged, 80 and over Adenocarcinoma, Follicular Young Adult Thyroid Cancer, Papillary Adult Goiter, Nodular Male
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Reduction of respiratory motion artifacts in gadoxetate-enhanced MR with a deep learning-based filter using convolutional neural network.

European radiology Jun 17, 2020
OBJECTIVES: To reveal the utility of motion artifact reduction with convolutional neural network (MARC) in gadoxetate disodium-enhanced multi-arterial phase MRI of the liver.
Humans Neural Networks, Computer Retrospective Studies Artifacts Breath Holding Gadolinium DTPA Middle Aged Female Deep Learning Aged Liver Neoplasms Aged, 80 and over Contrast Media Adult Magnetic Resonance Imaging Male
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Significant challenges when introducing care robots in Swedish elder care.

Disability and rehabilitation. Assistive technology Jun 13, 2020
INTRODUCTION: Care robots are machines, operating partly or completely autonomously, that are intended to assist older people and their caregivers. Care robots are seen as one part of the solution to the aging population, allowing fewer professional ...
Sweden Humans Aged Ecosystem Aged, 80 and over Robotics Caregivers
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