Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
The role of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in enhancing...
OBJECTIVE: This study was designed to establish a diagnostic model for osteoporosis by collecting cl...
Generative artificial intelligence (GenAI) presents novel approaches to enhance motivation, curricul...
Invasive coronary physiology is underused and carries risks/costs. Artificial Intelligence (AI) migh...
Computer vision techniques can expedite the detection of bacterial growth in wastewater treatment pl...
Robot-assisted isokinetic training has been widely adopted for knee rehabilitation. However, existin...
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness ...
Non-targeted metabolomics holds great promise for advancing precision medicine and biomarker discove...
Drawing on the Resource-Based View (RBV) and Stakeholder Theory, this study tests construct relation...
BACKGROUND: This study aimed to evaluate the combined effects of robotic training (RT) and botulinum...
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying...
Myoelectric control interfaces, which map electromyographic (EMG) signals into control commands for ...
Selection of lead therapeutic molecules is often driven predominantly by pharmacological efficacy an...
Nonlinear autoregressive exogenous (NARX) neural network models were used to forecast the time-serie...
BACKGROUND AND OBJECTIVE: Automated surgical skill assessment using kinematic and video data (hard d...
Individuals with autism spectrum disorder (ASD) experience difficulties in both verbal and nonverbal...
BACKGROUND: Patients' oral expressions serve as valuable sources of clinical information to improve ...
BACKGROUND: Virtual patients (VPs) are computer-based simulations of clinical scenarios used in heal...
In this era of internet, e-commerce has grown tremendously and the customers are increasingly relyin...
A crucial part of biomedical research is drug discovery, which aims to find and create innovative me...
This paper presents a comprehensive systematic review of generative models (GANs, VAEs, DMs, and LLM...