Latest AI and machine learning research in work force for healthcare professionals.
Natural Language Processing (NLP) is a powerful technique for extracting valuable information from u...
BACKGROUND: Diatoms are microalgae with finely ornamented microscopic silica shells. Their taxonomic...
Recently, artificial intelligence generated content (AIGC) has been receiving increased attention an...
The increase in utilization of patient portal messages has imposed a considerable burden on healthca...
Excessive documentation burden is linked to clinician burnout, thus motivating efforts to reduce bur...
Mental disorders are a critical global public health problem due to their increasing prevalence, ris...
BACKGROUND: Gait training programs are commonly used to improve gait in children with cerebral palsy...
BACKGROUND: The objective performance evaluation of an athlete is essential to allow detailed resear...
BACKGROUND: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines ...
BACKGROUND: Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait...
With the emergence of innovations and technological advancements – exemplified by telemedicine...
OBJECTIVE: Aim: The paper studies the attitude to critical thinking, academic integrity and the Arti...
BACKGROUND: Despite the explosive increase in interest regarding Robot-Assisted Walking Training (RA...
BACKGROUND: Chronic stroke can impair cardiopulmonary function, mobility, and daily activities. This...
BACKGROUND: The therapeutic effect and mechanism of robot-assisted upper limb training (RT) combined...
BACKGROUND: The recent advancements and detailed studies in the field of 3D bioprinting have made it...
Flow cytometry (FC) is routinely used for hematological disease diagnosis and monitoring. Advancemen...
INTRODUCTION: The superiority of the functional results of robot-assisted radical prostatectomyis st...
BACKGROUND: The role of artificial intelligence (AI) in the discrimination between pulmonary cryptoc...
Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...
While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized...