AIMC Topic: Aged, 80 and over

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Machine Learning Prediction of Stroke Mechanism in Embolic Strokes of Undetermined Source.

Stroke Aug 12, 2020
BACKGROUND AND PURPOSE: One-fifth of ischemic strokes are embolic strokes of undetermined source (ESUS). Their theoretical causes can be classified as cardioembolic versus noncardioembolic. This distinction has important implications, but the categor...
Humans Machine Learning Algorithms Female Stroke Atrial Fibrillation Intracranial Embolism ROC Curve Reproducibility of Results Image Processing, Computer-Assisted Aged Electrocardiography Aged, 80 and over Decision Trees Male Predictive Value of Tests Middle Aged Registries
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Classification of cervical neoplasms on colposcopic photography using deep learning.

Scientific reports Aug 12, 2020
Colposcopy is widely used to detect cervical cancers, but experienced physicians who are needed for an accurate diagnosis are lacking in developing countries. Artificial intelligence (AI) has been recently used in computer-aided diagnosis showing rem...
Humans Neural Networks, Computer Artificial Intelligence Adolescent Adult Uterine Cervical Dysplasia Uterine Cervical Neoplasms Colposcopy Middle Aged Retrospective Studies Case-Control Studies Female Diagnosis, Computer-Assisted Aged Deep Learning Aged, 80 and over Young Adult
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Rapid identification of COVID-19 severity in CT scans through classification of deep features.

Biomedical engineering online Aug 12, 2020
BACKGROUND: Chest CT is used for the assessment of the severity of patients infected with novel coronavirus 2019 (COVID-19). We collected chest CT scans of 202 patients diagnosed with the COVID-19, and try to develop a rapid, accurate and automatic t...
Time Factors Child, Preschool Child Image Processing, Computer-Assisted Coronavirus Infections Pneumonia, Viral Sensitivity and Specificity Male Middle Aged Deep Learning Adolescent Humans Pandemics COVID-19 Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult Adult
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3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

Cardiovascular engineering and technology Aug 11, 2020
PURPOSE: The quantitative analysis of contrast-enhanced Computed Tomography Angiography (CTA) is essential to assess aortic anatomy, identify pathologies, and perform preoperative planning in vascular surgery. To overcome the limitations given by man...
Aorta, Abdominal Computed Tomography Angiography Aortography Humans Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted
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Personal identification with orthopantomography using simple convolutional neural networks: a preliminary study.

Scientific reports Aug 11, 2020
Forensic dental examination has played an important role in personal identification (PI). However, PI has essentially been based on traditional visual comparisons of ante- and postmortem dental records and radiographs, and there is no globally accept...
Female Aged Aged, 80 and over Young Adult Adult Male Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Tooth Middle Aged Diagnosis, Computer-Assisted Deep Learning Adolescent Radiography, Panoramic Forensic Dentistry
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Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study.

Journal of medical Internet research Aug 10, 2020
BACKGROUND: As the need for sharing genomic data grows, privacy issues and concerns, such as the ethics surrounding data sharing and disclosure of personal information, are raised.
Support Vector Machine Health Records, Personal RNA High-Throughput Nucleotide Sequencing Male Middle Aged Neoplasms Adolescent Child Humans Neural Networks, Computer Machine Learning Algorithms Female Aged Aged, 80 and over Young Adult Adult
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Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.

Computers in biology and medicine Aug 6, 2020
BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying patient decompensation. Machine learning (ML) may offer an ...
United States Humans Triage Machine Learning Coronavirus Infections Clinical Laboratory Techniques Pandemics Adult Respiratory Insufficiency Betacoronavirus COVID-19 Sensitivity and Specificity COVID-19 Testing Pneumonia, Viral Algorithms Male COVID-19 Drug Treatment Prospective Studies Middle Aged Prognosis Respiration, Artificial Female Computational Biology SARS-CoV-2 Aged Aged, 80 and over
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Effects of Exoskeletal Lower Limb Robot Training on the Activities of Daily Living in Stroke Patients: Retrospective Pre-Post Comparison Using Propensity Score Matched Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 5, 2020
PURPOSE: There is limited evidence of gait training using newly developed exoskeletal lower limb robot called Hybrid Assistive Limb (HAL) on the function and ability to perform ADL in stroke patients. In clinical settings, we frequently find it chall...
Lower Extremity Recovery of Function Robotics Disability Evaluation Equipment Design Stroke Aged Gait Aged, 80 and over Feasibility Studies Male Humans Activities of Daily Living Middle Aged Retrospective Studies Propensity Score Female Treatment Outcome Exoskeleton Device Stroke Rehabilitation
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Dr. Answer AI for prostate cancer: Clinical outcome prediction model and service.

PloS one Aug 5, 2020
OBJECTIVES: The importance of clinical outcome prediction models using artificial intelligence (AI) is being emphasized owing to the increasing necessity of developing a clinical decision support system (CDSS) employing AI. Therefore, in this study, ...
Lymphatic Metastasis Neoplasm Invasiveness Prostatic Neoplasms Prostate-Specific Antigen Aged, 80 and over Humans Prostate Probability Adult Artificial Intelligence Prostatectomy Male Algorithms Seminal Vesicles Prognosis Middle Aged Aged Decision Support Systems, Clinical Treatment Outcome
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Predicting Alzheimer's disease progression using deep recurrent neural networks.

NeuroImage Aug 4, 2020
Early identification of individuals at risk of developing Alzheimer's disease (AD) dementia is important for developing disease-modifying therapies. In this study, given multimodal AD markers and clinical diagnosis of an individual from one or more t...
Humans Prognosis Deep Learning Models, Theoretical Longitudinal Studies Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Female Aged Aged, 80 and over Male Middle Aged Disease Progression
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