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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere.

Recovering and distinguishing different ionospheric layers and signals usually requires slow and com...

Phenotype-Based Threat Assessment.

Bacterial pathogen identification, which is critical for human health, has historically relied on cu...

Multi-Scale Attention Convolutional Network for Masson Stained Bile Duct Segmentation from Liver Pathology Images.

In clinical practice, the Ishak Score system would be adopted to perform the evaluation of the gradi...

An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction.

Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has therefore...

An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection.

Since December 2019, the COVID-19 pandemic has led to a dramatic loss of human lives and caused seve...

Vaxi-DL: A web-based deep learning server to identify potential vaccine candidates.

The development of a new vaccine is a challenging exercise involving several steps including computa...

Diagnosis of significant liver fibrosis in patients with chronic hepatitis B using a deep learning-based data integration network.

BACKGROUND AND AIMS: Chronic hepatitis B virus (CHB) infection remains a major global health burden ...

Improved-Mask R-CNN: Towards an accurate generic MSK MRI instance segmentation platform (data from the Osteoarthritis Initiative).

INTRODUCTION: Objective assessment of osteoarthritis (OA) Magnetic Resonance Imaging (MRI) scans can...

Dietary supplementation of propolis enhanced the innate immune response against Edwardsiella piscicida challenge in turbot (Scophthalmus maximus).

Propolis is non-hazardous resinous substance mixture containing bioactive ingredients such as polyph...

Deep Learning-Based Computer-Aided Pneumothorax Detection Using Chest X-ray Images.

Pneumothorax is a thoracic disease leading to failure of the respiratory system, cardiac arrest, or ...

Testing a global null hypothesis using ensemble machine learning methods.

Testing a global null hypothesis that there are no significant predictors for a binary outcome of in...

Switching to a NRTI-free 2 drug regimen (2DR) -a sub-analysis of the 48 weeks DUALIS study on metabolic and renal changes.

Switching from a three-drug regimen (3DR: boosted darunavir [bDRV] and two nucleoside reverse trans...

AFD-StackGAN: Automatic Mask Generation Network for Face De-Occlusion Using StackGAN.

To address the problem of automatically detecting and removing the mask without user interaction, we...

Crack Detection and Comparison Study Based on Faster R-CNN and Mask R-CNN.

The intelligent crack detection method is an important guarantee for the realization of intelligent ...

Pre-training Model Based on Parallel Cross-Modality Fusion Layer.

Visual Question Answering (VQA) is a learning task that combines computer vision with natural langua...

Using deep learning models to analyze the cerebral edema complication caused by radiotherapy in patients with intracranial tumor.

Using deep learning models to analyze patients with intracranial tumors, to study the image segmenta...

Instance segmentation convolutional neural network based on multi-scale attention mechanism.

Instance segmentation is more challenging and difficult than object detection and semantic segmentat...

Different features identified by machine learning associated with the HIV compartmentalization in semen.

Genetic compartmentalization in semen has been observed in previous studies. However, genetic signat...

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