Latest AI and machine learning research in surveys for healthcare professionals.
The reliability of solid rocket motor grain structure during solidification cooling is analyzed. Fir...
This study evaluates an innovative control approach to assistive robotics by integrating brain-compu...
Prior work suggests that cognitive biases may contribute to health anxiety. Yet there is little rese...
The purpose of this study was to test whether a machine learning model can accurately predict VO acr...
Biological synaptic transmission is unreliable, and this unreliability likely degrades neural circui...
Deep learning shows promise in autosegmentation of head and neck cancer (HNC) primary tumours (GTV-T...
For artificial intelligence (AI) to support nutrition care, high quality and accuracy of its feature...
Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) ...
Multidisciplinary pulmonary embolism response teams (PERTs) have shown that timely triage expedites ...
Deep learning models that aid in medical image assessment tasks must be both accurate and reliable t...
: Robotics is commonly used in the rehabilitation of neuro-musculoskeletal injuries and diseases. Wh...
Though artificial intelligence (AI) is being widely implemented in gastroenterology (GI) and hepatol...
The aim of this paper was to explore the role of artificial intelligence (AI) applied to ultrasound ...
We sought to validate the ability of a novel handheld ultrasound device with an artificial intellige...
Although artificial intelligence (AI) methods hold promise for medical imaging-based prediction task...
Erik, HT, Onn, SW, and Montalvo, S. Vertical jump height with artificial intelligence through a cell...
The positive impact of Artificial Intelligence (AI) on second language (L2) learning is well-documen...
Algorithmic bias has emerged as a critical challenge in the age of responsible production of artific...
AIM: To identify factors associated with locomotive syndrome (LS) using medical questionnaire data a...
This study aims to enhance the post-training evaluation of the annual performance agreement (APA) tr...
With the outbreak of COVID-19 in 2020, countries worldwide faced significant concerns and challenges...