AIMC Topic: Aged, 80 and over

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A machine learning approach to predicting risk of myelodysplastic syndrome.

Leukemia research Jun 8, 2021
BACKGROUND: Early myelodysplastic syndrome (MDS) diagnosis can allow physicians to provide early treatment, which may delay advancement of MDS and improve quality of life. However, MDS often goes unrecognized and is difficult to distinguish from othe...
Middle Aged Risk Assessment Quality of Life Case-Control Studies ROC Curve Female Aged Aged, 80 and over Adult Male United States Follow-Up Studies Myelodysplastic Syndromes Humans Neural Networks, Computer Machine Learning Algorithms Prognosis Retrospective Studies
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UNRAQ-A Questionnaire for the Use of a Social Robot in Care for Older Persons. A Multi-Stakeholder Study and Psychometric Properties.

International journal of environmental research and public health Jun 7, 2021
(1) Background: while there exist validated measures to assess the needs of older people, there are comparatively few validated tools to assess needs and requirements for the use of robots. Henceforth, the aim of the study is to present and validate ...
Surveys and Questionnaires Psychometrics Adolescent Robotics Social Interaction Aged Aged, 80 and over Young Adult Adult Middle Aged Humans Female
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Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies.

BMC medical imaging Jun 7, 2021
BACKGROUND: Artificial Intelligence (AI) is a promising tool for cardiothoracic ratio (CTR) measurement that has been technically validated but not clinically evaluated on a large dataset. We observed and validated AI and manual methods for CTR measu...
Female Aged Aged, 80 and over Young Adult Adult Male Humans Artificial Intelligence Observer Variation Radiography, Thoracic Thoracic Cavity Middle Aged Deep Learning Adolescent Bias Cardiomegaly
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Radiology "forensics": determination of age and sex from chest radiographs using deep learning.

Emergency radiology Jun 5, 2021
PURPOSE: To develop and test the performance of deep convolutional neural networks (DCNNs) for automated classification of age and sex on chest radiographs (CXR).
Child Female Radiography Male Radiology Aged Humans Radiography, Thoracic Aged, 80 and over Neural Networks, Computer Middle Aged Young Adult Infant Adult Deep Learning Adolescent Child, Preschool
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Detecting pelvic fracture on 3D-CT using deep convolutional neural networks with multi-orientated slab images.

Scientific reports Jun 3, 2021
Pelvic fracture is one of the leading causes of death in the elderly, carrying a high risk of death within 1 year of fracture. This study proposes an automated method to detect pelvic fractures on 3-dimensional computed tomography (3D-CT). Deep convo...
Neural Networks, Computer Tomography, X-Ray Computed Female Reproducibility of Results Aged Aged, 80 and over Humans Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Models, Theoretical Pelvic Bones Fractures, Bone Young Adult Adult Sensitivity and Specificity Male Middle Aged
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Predicting the Prognosis of MCI Patients Using Longitudinal MRI Data.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
The aim of this study is to develop a computer-aided diagnosis system with a deep-learning approach for distinguishing "Mild Cognitive Impairment (MCI) due to Alzheimer's Disease (AD)" patients among a list of MCI patients. In this system we are usin...
Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Aged Brain Aged, 80 and over Prognosis Male Female Middle Aged Disease Progression Cognitive Dysfunction
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Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.

PloS one Jun 2, 2021
BACKGROUND: Pancreatic cancer (PC) represents a substantial public health burden. Pancreatic cancer patients have very low survival due to the difficulty of identifying cancers early when the tumour is localised to the site of origin and treatable. R...
Adult Electronic Health Records Case-Control Studies Humans Survival Rate Adolescent Female Machine Learning Primary Health Care Male Aged Algorithms Follow-Up Studies Middle Aged Aged, 80 and over Prospective Studies Early Detection of Cancer Risk Assessment Young Adult Prognosis Pancreatic Neoplasms
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Machine Learning Approaches to Predict Hepatotoxicity Risk in Patients Receiving Nilotinib.

Molecules (Basel, Switzerland) May 31, 2021
Although nilotinib hepatotoxicity can cause severe clinical conditions and may alter treatment plans, risk factors affecting nilotinib-induced hepatotoxicity have not been investigated. This study aimed to elucidate the factors affecting nilotinib-i...
Pyrimidines Chemical and Drug Induced Liver Injury Liver Area Under Curve Odds Ratio Risk Retrospective Studies Protein Kinase Inhibitors Female Risk Factors Aged Adult Aged, 80 and over Humans Young Adult Male Machine Learning Middle Aged Risk Assessment Antineoplastic Agents
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Improving Stroke Risk Prediction in the General Population: A Comparative Assessment of Common Clinical Rules, a New Multimorbid Index, and Machine-Learning-Based Algorithms.

Thrombosis and haemostasis May 28, 2021
BACKGROUND: There are few large studies examining and predicting the diversified cardiovascular/noncardiovascular comorbidity relationships with stroke. We investigated stroke risks in a very large prospective cohort of patients with multimorbidity, ...
Humans Machine Learning Algorithms Prospective Studies Female Risk Factors Aged Aged, 80 and over Adult Logistic Models Male United States Middle Aged Stroke Risk Assessment Medicare Adolescent Multimorbidity Cohort Studies Insurance Claim Review
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Geometric deep learning on brain shape predicts sex and age.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 27, 2021
The complex relationship between the shape and function of the human brain remains elusive despite extensive studies of cortical folding over many decades. The analysis of cortical gyrification presents an opportunity to advance our knowledge about t...
Young Adult Adult Middle Aged Deep Learning Adolescent Humans Neural Networks, Computer Brain Aged Aged, 80 and over Child Magnetic Resonance Imaging Neuroimaging
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