AIMC Topic: Aged, 80 and over

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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Radiology Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Tomography, X-Ray Computed Female Infant, Newborn SARS-CoV-2 Aged Aged, 80 and over Humans Artificial Intelligence Pandemics COVID-19 Retrospective Studies Pneumonia Radiologists Coronavirus Infections Radiography, Thoracic Philadelphia Rhode Island Betacoronavirus Lung Pneumonia, Viral Young Adult China Adult Adolescent Sensitivity and Specificity Child, Preschool Male Child Middle Aged Diagnosis, Differential Infant
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Development and Validation of Machine Learning Algorithms for Predicting Adverse Events After Surgery for Lumbar Degenerative Spondylolisthesis.

World neurosurgery Apr 25, 2020
BACKGROUND: Preoperative prognostication of adverse events (AEs) for patients undergoing surgery for lumbar degenerative spondylolisthesis (LDS) can improve risk stratification and help guide the surgical decision-making process. The aim of this stud...
Transplantation, Autologous Humans Risk Factors Functional Status Machine Learning Middle Aged Aged Bone Transplantation Algorithms Neurosurgical Procedures Postoperative Complications Ilium Aged, 80 and over Prognosis Spinal Fusion Adolescent Serum Albumin Young Adult Female Lumbar Vertebrae Logistic Models Spondylolisthesis Adult Alkaline Phosphatase Age Factors Clinical Decision Rules Male Sex Factors Decision Making
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Development of automatic measurement for patellar height based on deep learning and knee radiographs.

European radiology Apr 23, 2020
OBJECTIVES: To develop and evaluate the performance of a deep learning-based system for automatic patellar height measurements using knee radiographs.
Radiography Knee Joint Osteoarthritis, Knee Patella Aged, 80 and over Young Adult Adult Male Middle Aged Deep Learning Humans Algorithms Female Aged
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From a deep learning model back to the brain-Identifying regional predictors and their relation to aging.

Human brain mapping Apr 22, 2020
We present a Deep Learning framework for the prediction of chronological age from structural magnetic resonance imaging scans. Previous findings associate increased brain age with neurodegenerative diseases and higher mortality rates. However, the im...
Humans Child, Preschool Brain Child Adult Age Factors Female Magnetic Resonance Imaging Male Aged Datasets as Topic Aging Aged, 80 and over Neuroimaging Middle Aged Young Adult Deep Learning Adolescent
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Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.

AJR. American journal of roentgenology Apr 22, 2020
The objective of this study was to assess the impact of artificial intelligence (AI)-based decision support (DS) on breast ultrasound (US) lesion assessment. A multicenter retrospective review of 900 breast lesions (470/900 [52.2%] benign; 430/900 ...
Adolescent Biopsy Ultrasonography, Mammary Aged, 80 and over Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Diagnosis, Computer-Assisted Humans Artificial Intelligence Decision Support Techniques Retrospective Studies Female Aged
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Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography.

European radiology experimental Apr 17, 2020
BACKGROUND: Automatically detecting and quantifying pneumothorax on chest computed tomography (CT) may impact clinical decision-making. Machine learning methods published so far struggle with the heterogeneity of technical parameters and the presence...
Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Male Middle Aged Infant Radiography, Thoracic Deep Learning Pneumothorax Adolescent Child, Preschool Child Radiographic Image Interpretation, Computer-Assisted
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Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience.

AJR. American journal of roentgenology Apr 14, 2020
The purpose of this study was to perform quantitative and qualitative evaluation of a deep learning image reconstruction (DLIR) algorithm in contrast-enhanced oncologic CT of the abdomen. Retrospective review (April-May 2019) of the cases of adults...
Digestive System Neoplasms Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Thoracic Neoplasms Humans Contrast Media Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Iohexol Female Radiation Dosage Radiography, Abdominal
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Predicting Inpatient Medication Orders From Electronic Health Record Data.

Clinical pharmacology and therapeutics Apr 11, 2020
In a general inpatient population, we predicted patient-specific medication orders based on structured information in the electronic health record (EHR). Data on over three million medication orders from an academic medical center were used to train ...
Middle Aged Deep Learning Adolescent Time Factors Logistic Models Inpatients Academic Medical Centers Medical Order Entry Systems Hospitalization Aged Aged, 80 and over Young Adult Adult Humans Male Machine Learning Electronic Health Records Female
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Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network.

Scientific reports Apr 10, 2020
Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segmentation of abdominal organs has been made possible by the advent of the convolutional neural network. We utilized the U-Net, a 3D-patch-based convolutio...
Liver Neoplasms Imaging, Three-Dimensional Kidney Duodenum Abdomen Liver Female Aged Aged, 80 and over Adult Male Middle Aged Stomach Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed
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Automatic diagnosis of the 12-lead ECG using a deep neural network.

Nature communications Apr 9, 2020
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. Deep Neural Networks (DNNs) are models composed of stacked transformations that learn tasks by examples. This technology has re...
Humans Neural Networks, Computer Middle Aged Deep Learning Adolescent Electrocardiography Atrial Fibrillation Reproducibility of Results Cardiology Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity
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