AIMC Topic: Neural Networks, Computer

Clear Filters Showing 9141 to 9150 of 31376 articles

The use of weather nowcasting convolutional neural network extrapolators in cardiac PET imaging.

Journal of medical radiation sciences
INTRODUCTION: Algorithms to predict short-term changes in local weather modalities have been used in meteorology for many years. These algorithms predict the temporospatial change in the movement of weather patterns such as cloud cover or precipitati...

Application of artificial intelligence-based methods in bioelectrochemical systems: Recent progress and future perspectives.

Journal of environmental management
Bioelectrochemical Systems (BESs) leverage microbial metabolic processes to either produce electricity by degrading organic matter or consume electricity to assist metabolism, and can be used for various applications such as energy production, wastew...

Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning.

Artificial intelligence in medicine
Cardiovascular diseases account for 17 million deaths per year worldwide. Of these, 25% are categorized as sudden cardiac death, which can be related to ventricular tachycardia (VT). This type of arrhythmia can be caused by focal activation sources o...

Aligned deep neural network for integrative analysis with high-dimensional input.

Journal of biomedical informatics
OBJECTIVE: Deep neural network (DNN) techniques have demonstrated significant advantages over regression and some other techniques. In recent studies, DNN-based analysis has been conducted on data with high-dimensional input such as omics measurement...

Metric Learning in Histopathological Image Classification: Opening the Black Box.

Sensors (Basel, Switzerland)
The application of machine learning techniques to histopathology images enables advances in the field, providing valuable tools that can speed up and facilitate the diagnosis process. The classification of these images is a relevant aid for physician...

Gene-specific machine learning for pathogenicity prediction of rare BRCA1 and BRCA2 missense variants.

Scientific reports
Machine learning-based pathogenicity prediction helps interpret rare missense variants of BRCA1 and BRCA2, which are associated with hereditary cancers. Recent studies have shown that classifiers trained using variants of a specific gene or a set of ...

Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.

Pain research & management
Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assess...