Latest AI and machine learning research in surveys for healthcare professionals.
Few studies have been conducted to classify and predict the influence of nutritional intake on overw...
Data-driven approaches can provide more enhanced insights for domain experts in addressing critical ...
In their article 'Who is afraid of black box algorithms? On the epistemological and ethical basis of...
Identification of the protein targets of hit molecules is essential in the drug discovery process. T...
OBJECTIVES: Currently, hurdles to implementation of artificial intelligence (AI) in radiology are a ...
It is well known that information technology (IT) can play a pivotal role in enhancing healthcare qu...
Transcriptomic atlases have improved our understanding of the correlations between gene-expression p...
Many countries face major challenges to ensure that their health and social care systems are ready f...
BACKGROUND: Genomic information is nowadays widely used for precise cancer treatments. Since the ind...
PURPOSE: Estimating uncertainty in predictions made by neural networks is critically important for i...
BACKGROUND: Most comparisons of robot-assisted (RARC) versus open radical cystectomy (ORC) for uroth...
Stress is the most prevailing and global psychological condition that inevitably disrupts the mood a...
Artificial Intelligence (AI) can potentially impact many aspects of human health, from basic researc...
The prediction of continued profile for static Poisson's ratio is quite expensive and requires huge ...
The bans on visiting nursing homes during the COVID-19 pandemic, while intended to protect residents...
In their previous work, Srinivas et al. [ 2018, 10, 56] have shown that implicit fingerprints captu...
Multibeam echosounders are widely used for 3D bathymetric mapping, and increasingly for water column...
Artificial Intelligence is providing astonishing results, with medicine being one of its favourite p...
We constructed machine learning-based pharmacokinetic prediction models with very high performance. ...
PURPOSE: The ACR Data Science Institute conducted its first annual survey of ACR members to understa...
The reliability of machine learning models can be compromised when trained on low quality data. Many...