AIMC Topic: Pilot Projects
Clear Filters Showing 431 to 440 of 847 articles
Artificial intelligence for interpretation of segments of whole body MRI in CNO: pilot study comparing radiologists versus machine learning algorithm.
Pediatric rheumatology online journal
Jun 9, 2020
BACKGROUND: To initiate the development of a machine learning algorithm capable of comparing segments of pre and post pamidronate whole body MRI scans to assess treatment response and to compare the results of this algorithm with the analysis of a pa...
Osteitis
Pamidronate
Tibia
Bone Density Conservation Agents
Femur
Whole Body Imaging
Pilot Projects
Adolescent
Treatment Outcome
Support Vector Machine
Magnetic Resonance Imaging
Chronic Disease
Radiologists
Image Interpretation, Computer-Assisted
Artificial Intelligence
Machine Learning
Sensitivity and Specificity
Disease Progression
Humans
A pilot study using a machine-learning approach of morphological and hemodynamic parameters for predicting aneurysms enhancement.
International journal of computer assisted radiology and surgery
Jun 8, 2020
PURPOSE: The development of straightforward classification methods is needed to identify unstable aneurysms and rupture risk for clinical use. In this study, we aim to investigate the relative importance of geometrical, hemodynamic and clinical risk ...
Effects of gait exercise assist robot (GEAR) on subjects with chronic stroke: A randomized controlled pilot trial.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jun 5, 2020
OBJECTIVE: The aim of this study was to investigate whether gait training using the Gait Exercise Assist Robot (GEAR) is more effective for improving gait ability than treadmill gait training in chronic stroke subjects.
Pilot study: can machine learning analyses of movement discriminate between leg movements in sleep (LMS) with vs. without cortical arousals?
Sleep & breathing = Schlaf & Atmung
May 26, 2020
PURPOSE: Clinical and animal studies indicate frequent small micro-arousals (McA) fragment sleep leading to health complications. McA in humans is defined by changes in EEG and EMG during sleep. Complex EEG recordings during the night are usually req...
Effect of Robot-Assisted Gait Training on Selective Voluntary Motor Control in Ambulatory Children with Cerebral Palsy.
Indian pediatrics
May 22, 2020
This pilot study investigated the efficacy of a four week robot-assisted gait training in twelve children with spastic diparesis. Short-term results and a 3-month follow-up showed statistically significantly increased selective motor control, walking...
A pilot study on the design and validation of a hybrid exoskeleton robotic device for hand rehabilitation.
Journal of hand therapy : official journal of the American Society of Hand Therapists
May 16, 2020
STUDY DESIGN: An iterative design process was used to obtain design parameters that satisfy both kinematic and dynamic requirements for the hand exoskeleton. This design was validated through experimental studies.
Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study.
Biomedical engineering online
May 14, 2020
BACKGROUND: In the past years, robotic systems have become increasingly popular in upper limb rehabilitation. Nevertheless, clinical studies have so far not been able to confirm superior efficacy of robotic therapy over conventional methods. The pers...
Reaching exercise for chronic paretic upper extremity after stroke using a novel rehabilitation robot with arm-weight support and concomitant electrical stimulation and vibration: before-and-after feasibility trial.
Biomedical engineering online
May 6, 2020
BACKGROUND: Our group developed a rehabilitation robot to assist with repetitive, active reaching movement of a paretic upper extremity. The robot is equipped with a servo motor-controlled arm-weight support and works in conjunction with neuromuscula...
Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study.
Sensors (Basel, Switzerland)
May 5, 2020
The rating of perceived exertion (RPE) is a subjective load marker and may assist in individualizing training prescription, particularly by adjusting running intensity. Unfortunately, RPE has shortcomings (e.g., underreporting) and cannot be monitore...
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography.
Cell
May 4, 2020
Many COVID-19 patients infected by SARS-CoV-2 virus develop pneumonia (called novel coronavirus pneumonia, NCP) and rapidly progress to respiratory failure. However, rapid diagnosis and identification of high-risk patients for early intervention are ...
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