AIMC Topic: Aged, 80 and over

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A unified framework for personalized regions selection and functional relation modeling for early MCI identification.

NeuroImage Apr 18, 2021
Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely adopted to investigate functional abnormalities in brain diseases. Rs-fMRI data is unsupervised in nature because the psychological and neurological labels are coarse-grain...
Connectome Nerve Net Reinforcement, Psychology Cognitive Dysfunction Models, Theoretical Magnetic Resonance Imaging Datasets as Topic Brain Diseases Female Aged Aged, 80 and over Male Deep Learning Humans
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Alberta Stroke Program Early CT Score Calculation Using the Deep Learning-Based Brain Hemisphere Comparison Algorithm.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 18, 2021
OBJECTIVES: The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a promising tool for the evaluation of stroke expansion to determine suitability for reperfusion therapy. The aim of this study was to validate deep learning-based AS...
Tomography, X-Ray Computed Clinical Decision-Making Female Reproducibility of Results Aged Humans Prognosis Retrospective Studies Thrombolytic Therapy Radiographic Image Interpretation, Computer-Assisted Stroke Patient Selection Thrombectomy Aged, 80 and over Male Deep Learning Imaging, Three-Dimensional Predictive Value of Tests
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Using rADioMIcs and machine learning with ultrasonography for the differential diagnosis of myometRiAL tumors (the ADMIRAL pilot study). Radiomics and differential diagnosis of myometrial tumors.

Gynecologic oncology Apr 16, 2021
OBJECTIVE: To develop and evaluate the performance of a radiomics and machine learning model applied to ultrasound (US) images in predicting the risk of malignancy of a uterine mesenchymal lesion.
Humans Machine Learning Aged, 80 and over Adult Sensitivity and Specificity Retrospective Studies Female Aged Sarcoma Uterine Neoplasms Myometrium Myoma Middle Aged Pilot Projects Ultrasonography Magnetic Resonance Imaging Italy
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Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approach.

Scientific reports Apr 14, 2021
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personalized preventative care. We applied a directed network graph to electronic health record (EHR) data and characterized comorbidities in a cohort of healt...
Veterans Risk Cardiomyopathies Neural Networks, Computer Databases, Factual Female Aged Aged, 80 and over Renal Insufficiency, Chronic Myocardial Infarction International Classification of Diseases Male Middle Aged Comorbidity Humans
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Machine Learning Applied to Clinical Laboratory Data in Spain for COVID-19 Outcome Prediction: Model Development and Validation.

Journal of medical Internet research Apr 14, 2021
BACKGROUND: The COVID-19 pandemic is probably the greatest health catastrophe of the modern era. Spain's health care system has been exposed to uncontrollable numbers of patients over a short period, causing the system to collapse. Given that diagnos...
Child, Preschool Child Treatment Outcome Laboratories Spain Infant, Newborn Reproducibility of Results SARS-CoV-2 Aged Aged, 80 and over Middle Aged Infant Adolescent Young Adult Adult Male COVID-19 Research Design Prognosis Retrospective Studies Female Humans Machine Learning Pandemics
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Real-World Experience with Artificial Intelligence-Based Triage in Transferred Large Vessel Occlusion Stroke Patients.

Cerebrovascular diseases (Basel, Switzerland) Apr 13, 2021
BACKGROUND AND PURPOSE: Randomized controlled trials have demonstrated the importance of time to endovascular therapy (EVT) in clinical outcomes in large vessel occlusion (LVO) acute ischemic stroke. Delays to treatment are particularly prevalent whe...
Cerebral Angiography Delivery of Health Care, Integrated Middle Aged Diagnosis, Computer-Assisted Predictive Value of Tests Triage Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Workflow Time-to-Treatment Endovascular Procedures Computed Tomography Angiography Clinical Decision-Making Female Aged Aged, 80 and over Male Humans Artificial Intelligence Decision Support Techniques Databases, Factual Retrospective Studies
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Impact of image compression on deep learning-based mammogram classification.

Scientific reports Apr 12, 2021
Image compression is used in several clinical organizations to help address the overhead associated with medical imaging. These methods reduce file size by using a compact representation of the original image. This study aimed to analyze the impact o...
ROC Curve Image Processing, Computer-Assisted Models, Theoretical Mammography Data Compression Aged Aged, 80 and over Adult Middle Aged Deep Learning Humans Neural Networks, Computer
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Machine learning-based decision tree classifier for the diagnosis of progressive supranuclear palsy and corticobasal degeneration.

Neuropathology and applied neurobiology Apr 7, 2021
AIMS: This study aimed to clarify the different topographical distribution of tau pathology between progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) and establish a machine learning-based decision tree classifier.
Humans Machine Learning Brain Female Aged tau Proteins Neurofibrillary Tangles Supranuclear Palsy, Progressive Nerve Degeneration Inclusion Bodies Corticobasal Degeneration Aged, 80 and over Male Middle Aged Decision Trees Diagnosis, Differential
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Clinical validation of a commercially available deep learning software for synthetic CT generation for brain.

Radiation oncology (London, England) Apr 7, 2021
BACKGROUND: Most studies on synthetic computed tomography (sCT) generation for brain rely on in-house developed methods. They often focus on performance rather than clinical feasibility. Therefore, the aim of this work was to validate sCT images gene...
Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Aged, 80 and over Adult Brain Neoplasms Middle Aged Deep Learning Brain Tomography, X-Ray Computed Aged Humans Software Prospective Studies
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Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images.

Auris, nasus, larynx Apr 4, 2021
OBJECTIVE: We examined whether artificial intelligence (AI) used with the novel digital image enhancement system modalities (CLARA+CHROMA, SPECTRA A, and SPECTRA B) could distinguish the cholesteatoma matrix, cholesteatoma debris, and normal middle e...
Humans Neural Networks, Computer Male Middle Aged Adolescent Diagnosis, Differential Surgery, Computer-Assisted Image Enhancement Female Aged Aged, 80 and over Adult Endoscopy Ear, Middle Cholesteatoma, Middle Ear
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