Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: While behavioral interventions remain an evidence-based treatment for obesity, they ofte...
BACKGROUND: In recent years, artificial intelligence (AI) systems have increasingly been used to ass...
BACKGROUND/AIMS: Patients have largely been excluded from discussions on the use of their health dat...
BACKGROUND: Day of surgery cancellation (DOSC) for elective surgery occurs in 18% of elective surger...
A growing number of data-driven clinical decision support (CDS) tools are incorporated into tele-cri...
Split-learning-based Virtual Physically Unclonable Functions (VPUFs) in Internet of Things (IoT) net...
The Harvard-Emory ECG Database (HEEDB) is currently the largest open-access collection of 12-lead el...
Large language models (LLMs) show potential in clinical reporting, yet current multimodal systems re...
BACKGROUND: Machine learning models in biomedical research are often hindered by demographic imbalan...
The folded-X pattern has been identified as a critical signature of confidence: as conditions become...
Based on neurocognitive models, the development and maintenance of post-traumatic stress disorder (P...
Fault detection in IoT-enabled machinery involves identifying defects in the operation of industrial...
INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an ...
BACKGROUND: Underreporting of seizures, particularly focal onset impaired awareness seizures (FIAS),...
INTRODUCTION: Artificial intelligence (AI) can complete tasks that once required human cognitive eff...
OBJECTIVE: To evaluate radiologists' opinions on the clinical applications of artificial intelligenc...
Representing signals using coordinate networks dominates the area of inverse problems recently, and ...
Self-collection of biospecimens at-home, without specialized equipment or training, are increasingly...
BACKGROUND: Postoperative delirium (POD) following cardiac surgery is a severe complication, and ear...
Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from clinical diagno...
BACKGROUND: Internalizing disorders are among the most common psychiatric conditions in adolescence,...