Latest AI and machine learning research in health policy for healthcare professionals.
Various deep learning models have been developed for different healthcare predictive tasks using Ele...
Deep learning (DL), part of a broader family of machine learning methods, is based on learning data ...
Robotic systems are used to support inpatients and healthcare professionals and to improve the effic...
Biological dosimetry is used to estimate individual absorbed radiation dose by quantifying an approp...
According to the requirements for developing the quality control technology in Chinese medicine( CM)...
Most people are now familiar with the concepts of big data, deep learning, machine learning, and art...
Surgical telementoring systems have gained lots of interest, especially in remote locations. However...
Hurricane Bob passed over the New England region in August 1991, causing significant damage to life,...
OBJECTIVE: To study the relationship between semen quality and the methylation level of maternally e...
OBJECTIVE: Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most ...
This paper aims to present an improved bicoherence spectrum (IBS) combined with cyclic modulation sp...
To date, consumer health tools available over the web suffer from serious limitations that lead to l...
MOTIVATION: Protein model quality assessment (QA) is a crucial and yet open problem in structural bi...
By integrating artificial intelligence (AI) to their practice, healthcare professions will evolve to...
For data science tools to mature and become integrated into routine clinical practice, they must add...
Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented t...
Recent advances in machine learning and artificial intelligence offer promising applications to radi...
INTRODUCTION: Adverse event (AE) under-reporting has been a recurrent issue raised during health aut...
In order to improve the level of health decision-making, based on health information resources and d...
Patient falls, a subcategory of patient safety events, cause further harm and anxiety to patients in...
We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal canc...