Latest AI and machine learning research in surveys for healthcare professionals.
Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), ...
In this paper, we propose a structural framework for population-based cancer epidemiology and evalua...
ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitmen...
In this study, we aimed to teach elementary school students how to practically deal with elderly peo...
This article describes the content of and delivery methods for motor learning (ML) education and th...
Changes in dietary patterns may partly explain the epidemic of asthma in industrialized countries. T...
This paper presents the results of two surveys conducted with users of a functional upper extremity ...
OBJECTIVE The accuracy of robot-guided pedicle screw placement has been proven to be high, but littl...
Connectionist modeling was used to investigate the brain mechanisms responsible for pain's ability t...
To prevent deployment-related disorders, Chaos Driven Situations Management Retrieval System (CHARLY...
The article outlines oncological and functional outcomes of salvage external beam radiation therapy ...
Accurate knowledge of body segment inertia parameters (BSIP) improves the assessment of dynamic anal...
Determination of the colorectal cancer stage is possible only after surgery based on pathology resul...
Laparoscopic surgeons perform precise and time consuming procedures while holding awkward poses in t...
Proteomics has proved invaluable in generating large-scale quantitative data; however, the developme...
PURPOSE: We evaluated the validity of robotic surgery (RS) for pediatric choledochal cyst (CC) in co...
Diabetes Mellitus (DM) affects hundreds of millions of people worldwide and it imposes a large econo...