Latest AI and machine learning research in work force for healthcare professionals.
BACKGROUND: Atrial fibrillation (AF) is the most common cardiac arrhythmia, affecting up to 2 % of t...
PURPOSE: Training deep learning dose prediction models for the latest cutting-edge radiotherapy tech...
BACKGROUND: Capillariid nematode eggs have been reported in archaeological material in both the New ...
Zebrafish are widely used in vertebrate studies, yet minimally invasive individual tracking and iden...
Empathy is the capacity to experience and understand the feelings of others, thereby playing a key r...
UNLABELLED: Effective communication is crucial in reducing health disparities. However, linguistic d...
OBJECTIVE: This study was designed to establish a diagnostic model for osteoporosis by collecting cl...
Oxygenic photosynthesis is responsible for nearly all biomass production on Earth, and may have been...
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 ...
The rising global incidence of breast cancer and the persistent shortage of specialized radiologists...
Speech disorders affect an individual's ability to generate sounds or utilize the voice appropriatel...
BACKGROUND: This study aimed to evaluate the combined effects of robotic training (RT) and botulinum...
INTRODUCTION: Maternal mortality refers to a mother's death owing to complications arising from chil...
Accurate control over individual fingers of robotic hands is essential for the progression of human-...
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying...
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 ...
IMPORTANCE: The rise of patient messages sent to clinicians via a patient portal has directly led to...