AIMC Topic: Neural Networks, Computer

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How AI and satellites could help predict volcanic eruptions.

Nature Mar 1, 2019
Satellite Communications Machine Learning Volcanic Eruptions Geographic Mapping Humans Forecasting Atmosphere Neural Networks, Computer Environmental Monitoring Artificial Intelligence
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Deep convolutional neural network models for the diagnosis of thyroid cancer - Authors' reply.

The Lancet. Oncology Mar 1, 2019
Retrospective Studies Thyroid Neoplasms Ultrasonography Humans Neural Networks, Computer
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Deep convolutional neural network models for the diagnosis of thyroid cancer.

The Lancet. Oncology Mar 1, 2019
Humans Neural Networks, Computer Retrospective Studies Thyroid Neoplasms Ultrasonography
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Deep convolutional neural network models for the diagnosis of thyroid cancer.

The Lancet. Oncology Mar 1, 2019
Neural Networks, Computer Humans Retrospective Studies Thyroid Neoplasms Ultrasonography
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Male Middle Aged Deep Learning Intravitreal Injections Angiogenesis Inhibitors Retrospective Studies Diagnostic Techniques, Ophthalmological Randomized Controlled Trials as Topic Humans Vascular Endothelial Growth Factor A Female Macula Lutea Predictive Value of Tests Diabetic Retinopathy Image Interpretation, Computer-Assisted Ranibizumab Sensitivity and Specificity Tomography, Optical Coherence Neural Networks, Computer Photography False Positive Reactions Fundus Oculi Macular Edema
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Nomogram and Artificial Neural Network for Prognostic Performance on the Albumin-Bilirubin Grade for Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization.

Journal of vascular and interventional radiology : JVIR Mar 1, 2019
PURPOSE: To construct the albumin-bilirubin (ALBI) grade and the Child-Turcotte-Pugh (CTP) score based on nomograms, as well as to develop an artificial neural network (ANN) to compare the prognostic performance of the 2 scores for hepatocellular car...
Chemoembolization, Therapeutic Serum Albumin, Human Treatment Outcome Neoplasm Grading Bilirubin Middle Aged China Time Factors Liver Neoplasms Humans Reproducibility of Results Carcinoma, Hepatocellular Biomarkers, Tumor Decision Support Techniques Neural Networks, Computer Nomograms Male Retrospective Studies Female
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Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations.

Stroke Mar 1, 2019
Background and Purpose- Triaging of referrals to transient ischemic attack (TIA) clinics is aided by risk stratification. Deep learning-based natural language processing, a type of machine learning, may be able to assist with the prediction of cerebr...
Humans Aged Aged, 80 and over Male Middle Aged Neural Networks, Computer Machine Learning Female Natural Language Processing Area Under Curve Magnetic Resonance Imaging Cerebrovascular Disorders False Positive Reactions Risk Assessment Predictive Value of Tests Ischemic Attack, Transient Triage Deep Learning Treatment Outcome
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Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs).

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
We propose to use segment graph convolutional and recurrent neural networks (Seg-GCRNs), which use only word embedding and sentence syntactic dependencies, to classify relations from clinical notes without manual feature engineering. In this study, t...
Data Mining Datasets as Topic Neural Networks, Computer Electronic Health Records Natural Language Processing Humans
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[Artificial intelligence and neural networks in urology].

Der Urologe. Ausg. A Mar 1, 2019
Knowledge of artificial intelligence will become essential in urology and medicine in the future. Today, computer-aided solutions are used for higher-dimensioned data or complex questions. In urological research, but also in clinical application, art...
Neural Networks, Computer Artificial Intelligence Forecasting Urology
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Synthesizing electronic health records using improved generative adversarial networks.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
OBJECTIVE: The aim of this study was to generate synthetic electronic health records (EHRs). The generated EHR data will be more realistic than those generated using the existing medical Generative Adversarial Network (medGAN) method.
Neural Networks, Computer Electronic Health Records Datasets as Topic Statistics as Topic
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