Latest AI and machine learning research in covid-19 for healthcare professionals.
BACKGROUND: This study intends to establish a combined prediction model that integrates the clinical...
A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence. Patien...
This study aims to develop an assumption-free data-driven model to accurately forecast COVID-19 spre...
Internet of Things (IoT) with deep learning (DL) is drastically growing and plays a significant role...
As developments in artificial intelligence and machine learning become more widespread in healthcare...
An intelligent controller based on a self-learning interval type-II fuzzy neural network is proposed...
Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular...
The recent coronavirus disease 2019 (COVID-19) pandemic pushed almost all institutions to adopt onli...
As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and comp...
The intelligent crack detection method is an important guarantee for the realization of intelligent ...
Recent technological developments pave the path for deep learning-based techniques to be used in alm...
Automatic segmentation of infected lesions from computed tomography (CT) of COVID-19 patients is cru...
Visual Question Answering (VQA) is a learning task that combines computer vision with natural langua...
Antibodies consisting of variable and constant regions, are a special type of proteins playing a vit...
For image-guided small animal irradiations, the whole workflow of imaging, organ contouring, irradia...
Using deep learning models to analyze patients with intracranial tumors, to study the image segmenta...
The COVID-19 pandemic continues to have major impact to health and medical infrastructure, economy, ...
Hand gesture recognition with surface electromyography (sEMG) is indispensable for Muscle-Gesture-Co...
Currently, countries across the world are suffering from a prominent viral infection called COVID-19...
Instance segmentation is more challenging and difficult than object detection and semantic segmentat...
In silico models based on Deep Neural Networks (DNNs) are promising for predicting activities and pr...