Latest AI and machine learning research in clinical trials for healthcare professionals.
AIMS: Our goals were to compare the effect of adding fentanyl to midazolam in a double-blinded, rand...
Generation of uremic toxins p-cresylsulfate (p-CS), indoxyl sulfate (IS) and indole 3-acetic acid (I...
OBJECTIVES: This article focuses on the effect of road lighting on road safety at accesses to quanti...
Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. ...
The introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the pos...
BACKGROUND: The sudden live changes of stroke survivors may lead to negative psychological and behav...
The field of occupational health and safety (OHS) focuses on reducing occupational accidents to an a...
The safety of medication use has been a priority in the United States since the late 1930s. Recently...
: Dehydration may affect cognitive performances as water accounts for 75% of brain mass. The purpose...
BACKGROUND: The population impact of alcohol screening and brief intervention might be increased by ...
BACKGROUND: In exploring the time course of a disease to support or generate biological hypotheses, ...
Quality control (QC) is crucial for ensuring the safety and effectiveness of traditional Chinese med...
Despite its potential, the use of machine learning in safety studies had been limited. Considering m...
BACKGROUND: Subcutaneous port needle insertions are painful and distressing for children with cancer...
BACKGROUND/OBJECTIVE: This study aimed to investigate the training and detraining effects of Tai Chi...
Dynamic treatment regimens (DTRs) are sequential treatment decisions tailored by patient's evolving ...
Clinicians often make multiple treatment decisions at key points over the course of a patient's dise...
Artificial intelligence (AI) is projected to substantially influence clinical practice in the forese...
Cell protrusion is morphodynamically heterogeneous at the subcellular level. However, the mechanism ...
In this paper, a novel 3D deep learning network is proposed for brain MR image segmentation with ran...
OBJECTIVES: This paper describes the results of a randomized clinical trial about the effectiveness ...