AIMC Topic: Aged, 80 and over

Clear Filters Showing 1771 to 1780 of 3475 articles

Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software.

European journal of nuclear medicine and molecular imaging Jul 14, 2020
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide threat to public health. While chest computed tomography (CT) plays an indispensable role in its diagnosis, the quantification and localization of lesions cannot be ac...
Linear Models Multidetector Computed Tomography Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Adult Adolescent Male Humans Child Middle Aged Software Reverse Transcriptase Polymerase Chain Reaction Lung Coronavirus Infections Pandemics Female Deep Learning COVID-19 SARS-CoV-2 COVID-19 Testing Retrospective Studies Aged Aged, 80 and over Young Adult
View on PubMed DOI

Ethical perceptions towards real-world use of companion robots with older people and people with dementia: survey opinions among younger adults.

BMC geriatrics Jul 14, 2020
BACKGROUND: Use of companion robots may reduce older people's depression, loneliness and agitation. This benefit has to be contrasted against possible ethical concerns raised by philosophers in the field around issues such as deceit, infantilisation,...
Humans Aged Aged, 80 and over Adult Surveys and Questionnaires Dementia Robotics Perception Attitude
View on PubMed DOI

Robotic multivisceral pelvic resection: experience from an exenteration unit.

Techniques in coloproctology Jul 13, 2020
BACKGROUND: Pelvic exenteration remains a viable and effective treatment option for the management of locally advanced or recurrent pelvic malignancy. The aim of this study was to present an early experience of robotic multivisceral resection of pelv...
Rectal Neoplasms Pelvic Exenteration Middle Aged Treatment Outcome Robotics Robotic Surgical Procedures Retrospective Studies Neoplasm Recurrence, Local Female Humans Aged, 80 and over Aged Adult Male
View on PubMed DOI

The correlation of deep learning-based CAD-RADS evaluated by coronary computed tomography angiography with breast arterial calcification on mammography.

Scientific reports Jul 13, 2020
This study sought to evaluate the association of breast arterial calcification (BAC) on breast screening mammography with the Coronary Artery Disease-Reporting and Data System (CAD-RADS) based on Deep Learning-coronary computed tomography angiography...
Aged Breast Aged, 80 and over Humans Adult Data Systems Coronary Angiography Deep Learning Breast Neoplasms Vascular Calcification Female Heart Early Detection of Cancer Computed Tomography Angiography Risk Factors Coronary Artery Disease Mammography Middle Aged
View on PubMed DOI

A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Patients Undergoing Carotid Endarterectomy.

Annals of vascular surgery Jul 10, 2020
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the prediction of early phase postoperative hypertension (EPOH) requiring the administration of intravenous vasodilators after carotid endarterectomy (CEA).
Cerebrovascular Circulation Carotid Stenosis Endarterectomy, Carotid Blood Pressure Antihypertensive Agents Cerebrovascular Disorders Administration, Intravenous Vasodilator Agents Risk Factors Aged Aged, 80 and over Machine Learning Adult Decision Support Techniques Male Databases, Factual Hypertension Retrospective Studies Humans Middle Aged Treatment Outcome Female Risk Assessment Predictive Value of Tests Time Factors
View on PubMed DOI

Feasibility of a 5G-Based Robot-Assisted Remote Ultrasound System for Cardiopulmonary Assessment of Patients With Coronavirus Disease 2019.

Chest Jul 9, 2020
BACKGROUND: Traditional methods for cardiopulmonary assessment of patients with coronavirus disease 2019 (COVID-19) pose risks to both patients and examiners. This necessitates a remote examination of such patients without sacrificing information qua...
Heart Diseases Retrospective Studies Female Aged Aged, 80 and over Adult Humans Robotics COVID-19 Feasibility Studies Lung Diseases Male Middle Aged Ultrasonography
View on PubMed DOI

Development and Validation of Forecasting Next Reported Seizure Using e-Diaries.

Annals of neurology Jul 9, 2020
OBJECTIVE: There are no validated methods for predicting the timing of seizures. Using machine learning, we sought to forecast 24-hour risk of self-reported seizure from e-diaries.
Humans Machine Learning Female Aged Infant Child Aged, 80 and over Adolescent Seizures Young Adult Child, Preschool Medical Records Adult Male Middle Aged
View on PubMed DOI

Fully bayesian longitudinal unsupervised learning for the assessment and visualization of AD heterogeneity and progression.

Aging Jul 9, 2020
Tau pathology and brain atrophy are the closest correlate of cognitive decline in Alzheimer's disease (AD). Understanding heterogeneity and longitudinal progression of atrophy during the disease course will play a key role in understanding AD pathoge...
Aged, 80 and over Male Disease Progression Longitudinal Studies Magnetic Resonance Imaging Humans Brain Female Aged Image Interpretation, Computer-Assisted Atrophy Cluster Analysis Unsupervised Machine Learning Bayes Theorem Amyloid beta-Peptides Alzheimer Disease
View on PubMed DOI

Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.

Journal of forensic sciences Jul 8, 2020
Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of resea...
Humans Neural Networks, Computer Brain Tomography, X-Ray Computed Feasibility Studies Forensic Medicine Autopsy Male Craniocerebral Trauma Female Middle Aged Aged Case-Control Studies Aged, 80 and over Deep Learning Young Adult Adolescent Adult
View on PubMed DOI

Deep learning based detection of intracranial aneurysms on digital subtraction angiography: A feasibility study.

The neuroradiology journal Jul 7, 2020
BACKGROUND: Digital subtraction angiography is the gold standard for detecting and characterising aneurysms. Here, we assess the feasibility of commercial-grade deep learning software for the detection of intracranial aneurysms on whole-brain anterop...
Intracranial Aneurysm Middle Aged Deep Learning Feasibility Studies Angiography, Digital Subtraction Cerebral Angiography Humans Aged, 80 and over Adult Male Software Female Aged
View on PubMed DOI
Popular Topics
Recent Journals