Journal of the American Medical Informatics Association : JAMIA
May 1, 2019
OBJECTIVE: Participants enrolled into randomized controlled trials (RCTs) often do not reflect real-world populations. Previous research in how best to transport RCT results to target populations has focused on weighting RCT data to look like the tar...
Journal of the American College of Radiology : JACR
Apr 1, 2019
Commercially available artificial intelligence (AI) algorithms outside of health care have been shown to be susceptible to ethnic, gender, and social bias, which has important implications in the development of AI algorithms in health care and the ra...
Restorative neurology and neuroscience
Jan 1, 2019
BACKGROUND: Robot-assisted gait training (RAGT) is widely used in children with cerebral palsy (CP), but information about optimal intervention frequency and duration is still lacking and the current evidence about effect of RAGT on motor endurance a...
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Dec 1, 2018
The aim of this systematic review and meta-analysis was to evaluate the effectiveness of robot-assisted gait training (RAGT) on motor impairments in people with Parkinson's disease (PD). A computer-based systematic literature search was performed in ...
BACKGROUND: The variability of responses to plasticity-inducing repetitive transcranial magnetic stimulation (rTMS) challenges its successful application in psychiatric care. No objective means currently exists to individually predict the patients' r...
BACKGROUND: The robotic Hybrid Assistive Limb (HAL) provides motion according to the wearer's voluntary activity. HAL training effects on walking speed and capacity have not been clarified in subacute stroke.
The international journal of biostatistics
May 1, 2016
OBJECTIVE: Consistent estimation of causal effects with inverse probability weighting estimators is known to rely on consistent estimation of propensity scores. To alleviate the bias expected from incorrect model specification for these nuisance para...
The international journal of biostatistics
May 1, 2016
This paper investigates the appropriateness of the integration of flexible propensity score modeling (nonparametric or machine learning approaches) in semiparametric models for the estimation of a causal quantity, such as the mean outcome under treat...
Restorative neurology and neuroscience
Jan 1, 2016
PURPOSE: Kinematic assessments are increasingly used as motor outcome measures during upper limb robot-assisted training, in addition to clinical scales. However, their relevance has not been evaluated much.
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