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Using deep convolutional neural network software can improve detection of malignant pulmonary nodules on chest radiographs

DCNN Software Aids Detection of Malignant Lung Nodules on CXR

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Use of software improves sensitivity of radiologists, reduces number of false-positive findings
The FIND FH model can successfully identify individuals with familial hypercholesterolemia from a scan of large

AI Model Helps ID Those at Risk for Familial Hypercholesterolemia

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Model may identify more who are at risk while substantially reducing the number of people screened
A deep learning algorithm has accuracy comparable to that of radiologists for the diagnosis of acute intracranial hemorrhage on head computed tomography

Deep Learning Algorithm Uses CT to ID Intracranial Hemorrhages

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Neural network as accurate as board-certified radiologists, IDs some abnormalities they miss
Early evidence suggests that diagnostic performance of deep learning models is equivalent to that of health care professionals for interpreting medical imaging

Deep Learning Models Classify Disease From Medical Imaging

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In meta-analysis, sensitivity, specificity comparable for deep learning models and health care professionals
Automated machine learning analysis has the potential to provide faster analysis of cardiovascular magnetic resonance imaging with similar levels of precision

Machine Learning May Be Faster for Cardiac MRI Scan Analysis

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Scan:rescan precision similar when measured by an expert, trained junior clinician, automated CNN
The Brief International Cognitive Assessment for Multiple Sclerosis tablet application seems to be a reliable and fast method of assessment

Tablet App Seems Reliable, Fast for Cognitive Assessment in MS

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Excellent agreement seen between iCAMS tablet application and paper version of the cognitive assessment
Machine learning algorithms could aid with classification of kidney biopsy samples

Machine Learning Algorithms Promising in Kidney Diagnostics

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Machine learning algorithms can aid in assessment of renal histopathology
Patient gender and age can be predicted by applying artificial intelligence to an electrocardiogram

Artificial Intelligence Can Predict Patient Gender, Age From ECG

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Authors say AI algorithm to determine physiologic age could serve as measure of overall health status
Use of a deep learning artificial intelligence system for digital breast tomosynthesis images can improve cancer detection efficacy and reduce image reading time

AI Assists in Reading of Digital Breast Tomosynthesis Images

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Concurrent use of AI system improves cancer detection, reduces reading time and recall rate
Deep natural language processing may be able to estimate the presence of active cancer

AI Tool Discerns Lung Cancer Outcomes From Imaging Reports

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Deep natural language processing used to detect presence of lung cancer and treatment response