AIMC Topic: Pilot Projects
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The pilot study of group robot intervention on pediatric inpatients and their caregivers, using 'new aibo'.
European journal of pediatrics
Oct 30, 2021
The study on robot-assisted therapy in a pediatric field has not been applied sufficiently in clinical settings. The purpose of this pilot study is to explore the potential therapeutic effects of a group robot intervention (GRI), using dog-like socia...
Release of Hyaluronan in Aneurysmal Subarachnoid Hemorrhage and Cerebral Vasospasm: A Pilot Study Indicating a Shedding of the Endothelial Glycocalyx.
Journal of neurosurgical anesthesiology
Oct 28, 2021
BACKGROUND: This pilot study investigated plasma concentrations of hyaluronan, heparan sulfate, and syndecan-1 as possible biomarkers for glycocalyx integrity after aneurysmal subarachnoid hemorrhage (aSAH).
The IDeaS initiative: pilot study to assess the impact of rare diseases on patients and healthcare systems.
Orphanet journal of rare diseases
Oct 22, 2021
BACKGROUND: Rare diseases (RD) are a diverse collection of more than 7-10,000 different disorders, most of which affect a small number of people per disease. Because of their rarity and fragmentation of patients across thousands of different disorder...
Line-field confocal optical coherence tomography as a tool for three-dimensional in vivo quantification of healthy epidermis: A pilot study.
Journal of biophotonics
Oct 21, 2021
Epidermal three-dimensional (3D) topography/quantification has not been completely characterized yet. The recently developed line-field confocal optical coherence tomography (LC-OCT) provides real-time, high-resolution, in-vivo 3D imaging of the skin...
Prediction of viral symptoms using wearable technology and artificial intelligence: A pilot study in healthcare workers.
PloS one
Oct 14, 2021
Conventional testing and diagnostic methods for infections like SARS-CoV-2 have limitations for population health management and public policy. We hypothesize that daily changes in autonomic activity, measured through off-the-shelf technologies toget...
The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation.
Surgical endoscopy
Oct 12, 2021
BACKGROUND: Accurate response evaluation is necessary to select complete responders (CRs) for a watch-and-wait approach. Deep learning may aid in this process, but so far has never been evaluated for this purpose. The aim was to evaluate the accuracy...
Designing Acceptable Robots for Assisting Older Adults: A Pilot Study on the Willingness to Interact.
International journal of environmental research and public health
Oct 12, 2021
The aim of this paper was to explore the psychosocial determinants that lead to acceptability and willingness to interact with a service robot, starting with an analysis of older users' behaviors toward the Robot-Era platform, in order to provide str...
A portable, self-contained neuroprosthetic hand with deep learning-based finger control.
Journal of neural engineering
Oct 11, 2021
Deep learning-based neural decoders have emerged as the prominent approach to enable dexterous and intuitive control of neuroprosthetic hands. Yet few studies have materialized the use of deep learning in clinical settings due to its high computation...
Automatic Prediction of Ischemia-Reperfusion Injury of Small Intestine Using Convolutional Neural Networks: A Pilot Study.
Sensors (Basel, Switzerland)
Oct 8, 2021
Acute intestinal ischemia is a life-threatening condition. The current gold standard, with evaluation based on visual and tactile sensation, has low specificity. In this study, we explore the feasibility of using machine learning models on images of ...
A Combined Hot and Hypoxic Environment during Maximal Cycling Sprints Reduced Muscle Oxygen Saturation: A Pilot Study.
Journal of sports science & medicine
Oct 1, 2021
The present study investigated the effects of a combined hot and hypoxic environment on muscle oxygenation during repeated 15-s maximal cycling sprints. In a single-blind, cross-over study, nine trained sprinters performed three 15-s maximal cycling ...
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