AIMC Topic: Aged, 80 and over

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Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status.

Scientific reports Oct 16, 2020
We investigated the ability of machine-learning classifiers on radiomics from pre-treatment multiparametric magnetic resonance imaging (MRI) to accurately predict human papillomavirus (HPV) status in patients with oropharyngeal squamous cell carcinom...
Oropharyngeal Neoplasms Multiparametric Magnetic Resonance Imaging Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Regression Analysis Area Under Curve Papillomaviridae Middle Aged ROC Curve Computational Biology Papillomavirus Infections Female Aged Aged, 80 and over Adult Male Humans Machine Learning Retrospective Studies
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A machine learning analysis of a "normal-like" IDH-WT diffuse glioma transcriptomic subgroup associated with prolonged survival reveals novel immune and neurotransmitter-related actionable targets.

BMC medicine Oct 16, 2020
BACKGROUND: Classification of primary central nervous system tumors according to the World Health Organization guidelines follows the integration of histologic interpretation with molecular information and aims at providing the most precise prognosis...
Brain Neoplasms Male Middle Aged Transcriptome Glioma Female Humans Mutation Aged Machine Learning Survival Analysis Aged, 80 and over Prognosis Young Adult Isocitrate Dehydrogenase Adult
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Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Oct 15, 2020
INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based defi...
Support Vector Machine Predictive Value of Tests Humans Data Mining Phenotype Intracranial Hemorrhages Aged Health Services Research Female International Classification of Diseases Aged, 80 and over Administrative Claims, Healthcare Reproducibility of Results Male Middle Aged
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Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study.

AJR. American journal of roentgenology Oct 14, 2020
Deep learning (DL) image reconstruction has the potential to disrupt the current state of MRI by significantly decreasing the time required for MRI examinations. Our goal was to use DL to accelerate MRI to allow a 5-minute comprehensive examination ...
Humans Female Aged Aged, 80 and over Image Processing, Computer-Assisted Magnetic Resonance Imaging Adult Knee Joint Male Signal-To-Noise Ratio Middle Aged Knee Injuries Deep Learning Adolescent
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[Gerontology, geriatric medicine and robot research : Look back to the future].

Zeitschrift fur Gerontologie und Geriatrie Oct 14, 2020
Assistive robotics as a gerontological geriatric field of research so far seem to be perceived more as "recalcitrant". Predominant is a reserved attitude as to whether this should be considered a research topic to be taken seriously. The reliability ...
Reproducibility of Results Aged Aged, 80 and over Robotics Humans Geriatrics
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The Role of Mobility Digital Ecosystems for Age-Friendly Urban Public Transport: A Narrative Literature Review.

International journal of environmental research and public health Oct 14, 2020
Within the context of the intersection of the global megatrends of urbanisation, ageing societies and digitalisation, this paper explores older people's mobility, with a particular interest in public transport, and a strong consideration of digital/I...
Humans Artificial Intelligence Aged Aged, 80 and over Ecosystem Cities Urban Population Environment Design Transportation
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Development of a Portable Tool to Identify Patients With Atrial Fibrillation Using Clinical Notes From the Electronic Medical Record.

Circulation. Cardiovascular quality and outcomes Oct 14, 2020
BACKGROUND: The electronic medical record contains a wealth of information buried in free text. We created a natural language processing algorithm to identify patients with atrial fibrillation (AF) using text alone.
Diagnosis, Computer-Assisted Predictive Value of Tests Natural Language Processing Aged Atrial Fibrillation Chicago Humans Utah Aged, 80 and over Electronic Health Records Male Female Middle Aged Reproducibility of Results Prevalence
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The Challenges of Implementing Artificial Intelligence into Surgical Practice.

World journal of surgery Oct 13, 2020
BACKGROUND: Artificial intelligence is touted as the future of medicine. Classical algorithms for the detection of common bile duct stones (CBD) have had poor clinical uptake due to low accuracy. This study explores the challenges of developing and i...
Bilirubin Liver Function Tests Choledocholithiasis Female Aged Aged, 80 and over Adult Male Middle Aged Predictive Value of Tests Acute Disease Biliary Tract Diseases Cholangiopancreatography, Endoscopic Retrograde Humans Artificial Intelligence Machine Learning Computer Simulation Retrospective Studies
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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.

Nature biomedical engineering Oct 12, 2020
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using divers...
Hypertensive Retinopathy Datasets as Topic Coronary Disease Photography Retinal Vessels Risk Assessment Deep Learning Body Mass Index Cholesterol Blood Pressure Aged Glycated Hemoglobin Stroke Aged, 80 and over Myocardial Infarction Adult Humans Retina Male Retrospective Studies Image Interpretation, Computer-Assisted Middle Aged Female Risk Factors
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Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis.

La Radiologia medica Oct 12, 2020
OBJECTIVE: To evaluate by means of regression models the relationships between baseline clinical and laboratory data and lung involvement on baseline chest CT and to quantify the thoracic disease using an artificial intelligence tool and a visual sco...
Artificial Intelligence COVID-19 Prognosis Tomography, X-Ray Computed Female Humans Middle Aged Severity of Illness Index Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Pneumonia, Viral SARS-CoV-2 Aged Aged, 80 and over Adult Male
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