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Diagnosis, Computer-Assisted - AI Medical Compendium

AIMC Topic: Diagnosis, Computer-Assisted

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Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.

IEEE journal of biomedical and health informatics Jan 23, 2019
This paper presents a novel method for hierarchical analysis of machine learning algorithms to improve predictions of at risk patients, thus further enabling prompt therapy. Specifically, we develop a multi-layer machine learning approach to analyze ...
Models, Statistical Predictive Value of Tests Early Diagnosis Humans Sepsis Big Data Machine Learning Systemic Inflammatory Response Syndrome Diagnosis, Computer-Assisted
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Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives.

Human genetics Jan 22, 2019
In the field of cancer genomics, the broad availability of genetic information offered by next-generation sequencing technologies and rapid growth in biomedical publication has led to the advent of the big-data era. Integration of artificial intellig...
Humans Precision Medicine Animals Neoplasms Diagnosis, Computer-Assisted Genomics Natural Language Processing Data Mining Electronic Data Processing
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Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.

Biomedical engineering online Jan 22, 2019
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs).
Radiology Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Image Processing, Computer-Assisted Lung Neoplasms Tomography, X-Ray Computed Solitary Pulmonary Nodule Reproducibility of Results Sensitivity and Specificity Lung Diagnosis, Computer-Assisted Deep Learning Humans Algorithms Databases, Factual
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Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.

Computers in biology and medicine Jan 15, 2019
HIV-associated neurocognitive disorders (HAND) represent an important source of neurologic complications in individuals with HIV. The dynamic, often subclinical, course of HAND has rendered diagnosis, which currently depends on neuropsychometric (NP)...
Magnetic Resonance Imaging Neurocognitive Disorders Diagnosis, Computer-Assisted HIV Infections Support Vector Machine Humans Brain Female Adult Male Middle Aged
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Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization.

Computational intelligence and neuroscience Jan 15, 2019
Thyroid disease has now become the second largest disease in the endocrine field; SPECT imaging is particularly important for the clinical diagnosis of thyroid diseases. However, there is little research on the application of SPECT images in the comp...
Neural Networks, Computer Machine Learning Algorithms Humans Diagnosis, Computer-Assisted Thyroid Gland Tomography, Emission-Computed, Single-Photon
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Deep learning for image analysis: Personalizing medicine closer to the point of care.

Critical reviews in clinical laboratory sciences Jan 10, 2019
The precision-based revolution in medicine continues to demand stratification of patients into smaller and more personalized subgroups. While genomic technologies have largely led this movement, diagnostic results can take days to weeks to generate. ...
Deep Learning Pattern Recognition, Automated Precision Medicine Humans Point-of-Care Systems Diagnosis, Computer-Assisted Neural Networks, Computer
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Learning to detect chest radiographs containing pulmonary lesions using visual attention networks.

Medical image analysis Jan 9, 2019
Machine learning approaches hold great potential for the automated detection of lung nodules on chest radiographs, but training algorithms requires very large amounts of manually annotated radiographs, which are difficult to obtain. The increasing av...
Humans Radiographic Image Interpretation, Computer-Assisted Lung Diseases Datasets as Topic Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted Radiography, Thoracic
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Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients.

PloS one Jan 9, 2019
BACKGROUND: Patient with acute coronary syndrome benefits from early revascularization. However, methods for the selection of patients who require urgent revascularization from a variety of patients visiting the emergency room with chest symptoms is ...
Diagnosis, Differential Predictive Value of Tests Emergency Service, Hospital Diagnosis, Computer-Assisted Time Factors Electrocardiography Datasets as Topic Myocardial Revascularization Decision Making, Computer-Assisted Patient Selection Chest Pain Humans Acute Coronary Syndrome Neural Networks, Computer Prognosis Sensitivity and Specificity
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Better medicine through machine learning: What's real, and what's artificial?

PLoS medicine Dec 31, 2018
Machine Learning Special Issue Guest Editors Suchi Saria, Atul Butte, and Aziz Sheikh cut through the hyperbole with an accessible and accurate portrayal of the forefront of machine learning in clinical translation.
Medicine Diagnosis, Computer-Assisted Humans Artificial Intelligence Machine Learning
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Geometrical features for premature ventricular contraction recognition with analytic hierarchy process based machine learning algorithms selection.

Computer methods and programs in biomedicine Dec 27, 2018
BACKGROUND AND OBJECTIVE: Premature ventricular contraction is associated to the risk of coronary heart disease, and its diagnosis depends on a long time heart monitoring. For this purpose, monitoring through Holter devices is often used and computat...
Signal-To-Noise Ratio Algorithms Humans Ventricular Premature Complexes Neural Networks, Computer Wavelet Analysis Diagnosis, Computer-Assisted Machine Learning Electrocardiography
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