Latest AI and machine learning research in clinical trials for healthcare professionals.
For the safety assessment of pharmaceuticals, initial data management requires accurate toxicologica...
It is difficult to achieve successful pulpal anesthesia in mandibular posterior teeth with symptoma...
Chamomile is a fascinating plant quoted in several traditional medicine texts, which has broad-spect...
To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (...
The aim of this study is to evaluate the role of convolutional neural network (CNN) in predicting ax...
Interindividual differences in pain sensitivity vary as a function of interactions between sensory, ...
Numerous advances have been made in prosthesis design, instrumentation and postoperative rehabilitat...
To evaluate the feasibility and safety of the robot-assisted system YunSRobot for remote manipulati...
The effect of 5 plant species (arborvitae [], boxwood [ sp., Japanese honeysuckle [], rhododendron [...
Present study is conducted to investigate the efficacy and safety of application of low-molecular-we...
Using Super Learner, a machine learning statistical method, we assessed varicella zoster virus-speci...
Robotic and sensor-based neurologic rehabilitation for the upper limb is an established concept for ...
INTRODUCTION: Previous randomized controlled trials have demonstrated the efficacy of antifibrinolyt...
This study is aimed at assessing of a robot intervention in a task-based upper-arm rehabilitation pr...
In this systematic review, we sought to summarize the 3 recent sodium-glucose cotransporter 2 inhibi...
The impact of transcranial direct current stimulation (tDCS) is controversial in the neurorehabilita...
OBJECTIVE: Unlocking the data contained within both structured and unstructured components of electr...
PURPOSE: We prospectively assessed the early radiographic and clinical outcomes (minimum follow-up o...
OBJECTIVE: Recent years have seen increased worldwide popularity of e-cigarette use. However, the ri...
ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitmen...
BACKGROUND: Medical plaintext documents contain important facts about patients, but they are rarely ...