AIMC Topic: Randomized Controlled Trials as Topic
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A randomized, cross-over trial comparing the effect of innovative robotic gait training and functional clinical therapy in children with cerebral palsy; a protocol to test feasibility.
Contemporary clinical trials
Jan 17, 2023
PURPOSE: Robotic gait training is relatively new in the world of pediatric rehabilitation. Preliminary feasibility studies and case reports include stationary robot-assisted treadmill training. Mobile robotic gait trainers hold greater promise for in...
Efficacy of rehabilitation robot-assisted gait training on lower extremity dyskinesia in patients with Parkinson's disease: A systematic review and meta-analysis.
Ageing research reviews
Jan 9, 2023
BACKGROUND: Robot-assisted training is used as a new rehabilitation training method for the treatment of motor dysfunction in neurological diseases. Robot-assisted gait training (RAGT) has been reported to treat motor dysfunction in patients with Par...
Robot-assisted vs Open Radical Cystectomy: Randomized Controlled Trials Lights and Shadows.
The Journal of urology
Dec 27, 2022
Combined robot motor assistance with neural circuit-based virtual reality (NeuCir-VR) lower extremity rehabilitation training in patients after stroke: a study protocol for a single-centre randomised controlled trial.
BMJ open
Dec 23, 2022
INTRODUCTION: Improving lower extremity motor function is the focus and difficulty of post-stroke rehabilitation treatment. More recently, robot-assisted and virtual reality (VR) training are commonly used in post-stroke rehabilitation and are consid...
Re: Randomized Trial of Ultralow vs Standard Pneumoperitoneum during Robotic Prostatectomy.
European urology
Dec 21, 2022
Effects of robotic rehabilitation using the Erigo device on patients with neurological injury: a systematic review and meta-analysis of randomized clinical trials.
Disability and rehabilitation. Assistive technology
Dec 5, 2022
OBJECTIVE: To systematically review the effects of robotic rehabilitation with the Erigo device on patients with neurological injury on safety, spasticity, muscle strength, functionality, gait/balance, and changes in the level of consciousness.
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark.
Journal of biomedical informatics
Nov 28, 2022
Big data and (deep) machine learning have been ambitious tools in digital medicine, but these tools focus mainly on association. Intervention in medicine is about the causal effects. The average treatment effect has long been studied as a measure of ...
Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.
Contemporary clinical trials
Nov 23, 2022
Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and high cost of delivery. The artificial intelligence (AI) technique of reinforcement learning (RL) is an optimization solution that tracks outcomes assoc...
Personalized prediction of optimal water intake in adult population by blended use of machine learning and clinical data.
Scientific reports
Nov 16, 2022
Growing evidence suggests that sustained concentrated urine contributes to chronic metabolic and kidney diseases. Recent results indicate that a daily urinary concentration of 500 mOsm/kg reflects optimal hydration. This study aims at providing perso...
Body weight-supported gait training for patients with spinal cord injury: a network meta-analysis of randomised controlled trials.
Scientific reports
Nov 10, 2022
Different body weight-supported gait-training strategies are available for improving ambulation in individuals with spinal cord injury (SCI). These include body weight-supported overground training (BWSOGT), body weight-supported treadmill training (...
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