Latest AI and machine learning research in surveys for healthcare professionals.
Robot-assisted ureteral reimplantation (RAUR) is a relatively new minimally invasive procedure. As ...
While antiphishing techniques have evolved over the years, phishing remains one of the most threaten...
Till March 31st, 2021, the coronavirus disease 2019 (COVID-19) had reportedly infected more than 127...
Interest in Machine Learning applications to tackle clinical and biological problems is increasing. ...
The collection of delicate deep-sea specimens of biological interest with remotely operated vehicle ...
A new methodology, imputation by feature importance (IBFI), is studied that can be applied to any ma...
PURPOSE: Over the last 2 years, the artificial intelligence (AI) community has presented several aut...
BACKGROUND: Retinal vessel segmentation benefits significantly from deep learning. Its performance r...
In recent years, with the development of medical science and artificial intelligence, research on r...
Liver Cancer is a threat to human health and life over the world. The key to reduce liver cancer inc...
BACKGROUND: Ontology-based semantic similarity measures based on SNOMED-CT, MeSH, and Gene Ontology ...
A challenge unique to classification model development is imbalanced data. In a binary classificatio...
Transformer-based pretrained language models (PLMs) have started a new era in modern natural languag...
The current wireless communication infrastructure has to face exponential development in mobile traf...
The current approach to using machine learning (ML) algorithms in healthcare is to either require cl...
BACKGROUND/OBJECTIVES: Vitamin E is essential for health, and although vitamin E deficiency seems ra...
INTRODUCTION: In elderly patients with cervical spinal cord injury, comorbidities such as cardiovasc...
The emerging field of artificial intelligence (AI) will probably affect the practice for the next g...
To develop a structured and objective scoring tool for assessment of robot-assisted partial nephrec...
BACKGROUND: Convolutional neural networks (artificial intelligence, AI) are rapidly appearing within...
With the remarkable success of representation learning for prediction problems, we have witnessed a ...