Latest AI and machine learning research in medicaid for healthcare professionals.
Speech imagery-the process of mentally simulating speech without vocalization-is a promising approac...
Due to their excellent specific strength and lightweight characteristics, Al-Cu-Li alloys are widely...
BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related...
OBJECTIVES: Digital health technologies (DHTs) have rapidly advanced in the past two decades, throug...
OBJECTIVE: To determine the perceptions and self-reported knowledge base of AI and machine learning ...
Concrete dams are prone to various hidden dangers after long-term operation and may lead to signific...
This manuscript introduces NeuroDetect, a model-free deep learning-based signal detection framework ...
Low-cost air quality sensors (LCSs) are increasingly being used in environmental monitoring due to t...
OBJECTIVES: Understanding the impact of epilepsy on pediatric brain tumors is crucial to diagnostic ...
PURPOSE: High-grade clear cell renal cell carcinoma (ccRCC) is linked to lower survival rates and mo...
Positron Emission Tomography (PET) is an important clinical imaging tool but inevitably introduces r...
UNLABELLED: Video-estimated peak jump power (vJP) using deep learning showed strong agreement with g...
Bacterial infections pose a severe threat to human health, and excessive antibiotic use induces bact...
To assess the utility of dual-energy CT scanning (DECTs) with popliteal artery (PA) monitoring in du...
As an emerging atmospheric monitoring technology, low-cost sensors for particulate matter of diamete...
SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate di...
IntroductionUp to 60% of adults with metastatic colorectal cancer (mCRC) receiving combination cytot...
The conversion of N to NH under ambient conditions is a major goal in sustainable chemistry. Homogen...
Low-dose computed tomography (LDCT) image reconstruction techniques can reduce patient radiation exp...
Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...
PURPOSE: To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a rad...