AIMC Topic: Feasibility Studies
Clear Filters Showing 501 to 510 of 873 articles
Computational analysis of morphological and molecular features in gastric cancer tissues.
Cancer medicine
Feb 3, 2020
Biological morphologies of cells and tissues represent their physiological and pathological conditions. The importance of quantitative assessment of morphological information has been highly recognized in clinical diagnosis and therapeutic strategies...
A feasibility study of eye gaze with biofeedback in a human-robot interface.
Assistive technology : the official journal of RESNA
Jan 30, 2020
Play is a vital activity in which children learn skills and explore the environment through object manipulation. Assistive robots have been used to provide access to play, and Forbidden Region Virtual Fixture (FRVF) guidance at the user interface cou...
Prediction of vaginal birth after cesarean deliveries using machine learning.
American journal of obstetrics and gynecology
Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Extraction, Obstetrical
Trial of Labor
Uterine Rupture
Vaginal Birth after Cesarean
Gestational Age
Delivery, Obstetric
Apgar Score
Fetal Weight
Female
Humans
Risk Factors
Tertiary Care Centers
Infant, Newborn
Organ Size
Machine Learning
Adult
Feasibility Studies
Cesarean Section
Risk Assessment
Area Under Curve
Retrospective Studies
Head
Parity
ROC Curve
Pregnancy
Neural-network-based Motion Tracking for Breast Ultrasound Strain Elastography: An Initial Assessment of Performance and Feasibility.
Ultrasonic imaging
Jan 30, 2020
Accurate tracking of tissue motion is critically important for several ultrasound elastography methods. In this study, we investigate the feasibility of using three published convolution neural network (CNN) models built for optical flow (hereafter r...
A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI.
European radiology experimental
Jan 28, 2020
BACKGROUND: Differentiate malignant from benign enhancing foci on breast magnetic resonance imaging (MRI) through radiomic signature.
Pilot and Feasibility Study on Elderly Support Services Using Communicative Robots and Monitoring Sensors Integrated With Cloud Robotics.
Clinical therapeutics
Jan 25, 2020
PURPOSE: This pilot before-after study investigated the possible effects of communicative robots, used with a sensing system supported by cloud robotics, in caring for elderly people.
Feasibility of a sub-3-minute imaging strategy for ungated quiescent interval slice-selective MRA of the extracranial carotid arteries using radial k-space sampling and deep learning-based image processing.
Magnetic resonance in medicine
Jan 23, 2020
PURPOSE: To develop and test the feasibility of a sub-3-minute imaging strategy for non-contrast evaluation of the extracranial carotid arteries using ungated quiescent interval slice-selective (QISS) MRA, combining single-shot radial sampling with d...
Myelin water imaging data analysis in less than one minute.
NeuroImage
Jan 21, 2020
PURPOSE: Based on a deep learning neural network (NN) algorithm, a super fast and easy to implement data analysis method was proposed for myelin water imaging (MWI) to calculate the myelin water fraction (MWF).
Rapid Assessment of Opioid Exposure and Treatment in Cities Through Robotic Collection and Chemical Analysis of Wastewater.
Journal of medical toxicology : official journal of the American College of Medical Toxicology
Jan 9, 2020
INTRODUCTION: Accurate data regarding opioid use, overdose, and treatment is important in guiding community efforts at combating the opioid epidemic. Wastewater-based epidemiology (WBE) is a potential method to quantify community-level trends of opio...
Female
Adult
Male
Middle Aged
Humans
Wastewater
Robotics
Substance-Related Disorders
Feasibility Studies
Analgesics, Opioid
Opioid-Related Disorders
Environmental Monitoring
Urban Health
Mass Spectrometry
Water Pollutants, Chemical
Opioid Epidemic
Solid Phase Extraction
North Carolina
Naloxone
Narcotic Antagonists
Assessing various sensorimotor and cognitive functions in people with epilepsy is feasible with robotics.
Epilepsy & behavior : E&B
Jan 7, 2020
BACKGROUND: Epilepsy is a common neurological disorder characterized by recurrent seizures, along with comorbid cognitive and psychosocial impairment. Current gold standards of assessment can quantify cognitive and motor performance, but may not capt...
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