Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: The review is intended to provide the effectiveness of robotic-assisted gait training (RAGT) for functional gait recovery in poststroke survivors through a systematic review and to provide evidence for gait speed improvements through the meta-analysis of randomized controlled trials (RCTs).
Both transcranial direct current stimulation (tDCS) and wrist robot-assisted training have demonstrated to be promising approaches for stroke rehabilitation. However, the effects of the combination of the two treatments in subacute stroke patients are not clear yet. To investigate the effectiveness of combining tDCS and wrist robot-assisted rehabilitation in subacute stroke patients in comparison ...
Clinical trials have identified a variety of predictor variables for use in precision treatment protocols, ranging from clinical biomarkers and sympto...
The recovery of the orthostatism after a severe acquired brain injury (sABI) is an essential objective to pursue in order to avoid the occurrence of s...
Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilance and patient recruitment. Medical persona classi...
BACKGROUND: Social robots that can communicate and interact with people offer exciting opportunities for improved health care access and outcomes. How...
OBJECTIVE: Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. Robot...
In recent years, safety issues surrounding robots have increased in importance, as more robots are in close contact with humans, both in industrial fi...
When evaluating principal surrogate biomarkers in vaccine trials, missingness in potential outcomes requires prediction using auxiliary variables and/...
KIRO® Oncology (Kiro Grifols, Spain) is a robotic system for automated compounding of sterile injectable drugs including intravenous cytotoxic treatme...
OBJECTIVE: Local reactions are the most common vaccine-related adverse event. There is no specific diagnosis code for local reaction due to vaccinatio...
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment...
BACKGROUND: No data exist on comparisons of efficacy, safety, and recurrence risk factors of paroxysmal and persistent atrial fibrillation (AF) ablati...
Social media provides a platform for individuals to craft personal brands and influence their perception by others, including potential employers. Yet...
Learning from patient safety incident reports is a vital part of improving healthcare. However, the volume of reports and their largely free-text natu...
Data mining methods based on machine learning play an increasingly important role in drug design and discovery. In the current work, eight machine lea...
This study examined the treatment effects between unilateral hybrid therapy (UHT; unilateral robot-assisted therapy [RT] + modified constraint-induced...
BACKGROUND: Rehabilitation may attenuate the impact on mobility of patients with progressive multiple sclerosis (MS) and severe gait disabilities.
This study aims to provide a systematic review of the applications of machine learning methods in addiction research. In this study, multiple searches...