Latest AI and machine learning research in surveys for healthcare professionals.
Accurate risk identification is crucial for ensuring the safe operation of Host vehicles (HoVs) in e...
There are safety risks when drivers take over the control of autonomous driving vehicles, and reduci...
In recent years, researchers have explored an innovative approach that leverages real vehicle trajec...
With the recent advances in technology, a wide range of systems continue to collect a large amount o...
3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of computer grap...
Catalyst dissolution and surface restructuring are ubiquitous in electrocatalysis, often leading to ...
PURPOSE: Artificial intelligence (AI) is more capable and accessible than ever before. But what does...
BACKGROUND: Major depressive disorder (MDD) presents significant public health challenges due to its...
A range of generative machine learning models for the design of novel molecules and materials have b...
Traditional drug discovery and development are time-consuming and expensive. Deep learning-based mol...
Medical physics and clinical engineering (MPCE) professionals have a critical role in the safe and e...
OBJECTIVES: The manual coding of job descriptions is time-consuming, expensive and requires expert k...
BACKGROUND: Heart failure (HF) is a prevalent cause of hospital readmissions. Our study aims to dete...
Laryngopharyngeal reflux (LPR) refers to the retrograde flow of stomach contents into the larynx due...
Assessing multi-hazard susceptibility and understanding community insights are important for effecti...
This narrative review explores the transformative role of artificial intelligence (AI) in forensic m...
Medical image super-resolution (SR) is a classic regression task in low-level vision. Limited by har...
Soil contamination with heavy metals (HMs) presents critical environmental and public health risks d...
Automatic radiology report generation can alleviate the workload for physicians and minimize regiona...
PURPOSE: To evaluate spectrum bias in stroke MRI analysis by excluding cases with uncertain acute is...
Confounding factors inherent in medical images can significantly impact the causal exploration capab...