AIMC Topic: Young Adult
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The averaged inter-brain coherence between the audience and a violinist predicts the popularity of violin performance.
NeuroImage
Feb 18, 2020
Why is some music well-received whereas other music is not? Previous research has indicated the close temporal dependencies of neural activity among performers and among audiences. However, it is unknown whether similar neural contingencies exist bet...
Identification of the best strategy to command variable stiffness using electromyographic signals.
Journal of neural engineering
Feb 18, 2020
OBJECTIVE: In the last decades, many EMG-controlled robotic devices were developed. Since stiffness control may be required to perform skillful interactions, different groups developed devices whose stiffness is real-time controlled based on EMG sign...
Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study.
CMAJ open
Feb 18, 2020
BACKGROUND: As artificial intelligence (AI) approaches in research increase and AI becomes more integrated into medicine, there is a need to understand perspectives from members of the Canadian public and medical community. The aim of this project wa...
Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques.
Journal of medical systems
Feb 17, 2020
Stress is one of the biggest problems in modern society. It may not be possible for people to perceive if they are under high stress or not. It is important to detect stress early and unobtrusively. In this context, stress detection can be considered...
Exercising with Baxter: preliminary support for assistive social-physical human-robot interaction.
Journal of neuroengineering and rehabilitation
Feb 17, 2020
BACKGROUND: The worldwide population of older adults will soon exceed the capacity of assisted living facilities. Accordingly, we aim to understand whether appropriately designed robots could help older adults stay active at home.
Instructor-learner brain coupling discriminates between instructional approaches and predicts learning.
NeuroImage
Feb 15, 2020
The neural mechanisms that support naturalistic learning via effective pedagogical approaches remain elusive. Here we used functional near-infrared spectroscopy to measure brain activity from instructor-learner dyads simultaneously during dynamic con...
Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches.
Scientific reports
Feb 14, 2020
Recurrent and chronic respiratory tract infections in cystic fibrosis (CF) patients result in progressive lung damage and represent the primary cause of morbidity and mortality. Staphylococcus aureus (S. aureus) is one of the earliest bacteria in CF ...
DGaze: CNN-Based Gaze Prediction in Dynamic Scenes.
IEEE transactions on visualization and computer graphics
Feb 13, 2020
We conduct novel analyses of users' gaze behaviors in dynamic virtual scenes and, based on our analyses, we present a novel CNN-based model called DGaze for gaze prediction in HMD-based applications. We first collect 43 users' eye tracking data in 5 ...
A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.
European journal of radiology
Feb 13, 2020
PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic resonance imaging (MRI) but can be classified with immunohistochemical staining after surgery. In this study, a model to precisely immunohistochemical...
Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women.
Breast cancer (Tokyo, Japan)
Feb 12, 2020
BACKGROUND: To compare the breast cancer detection performance in digital mammograms of a panel of three unaided human readers (HR) versus a stand-alone artificial intelligence (AI)-based Transpara system in a population of Japanese women.
Humans
ROC Curve
Aged, 80 and over
Decision Support Systems, Clinical
Young Adult
Radiologists
Artificial Intelligence
Early Detection of Cancer
Adult
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Mammography
Breast Neoplasms
Breast
Female
Middle Aged
Japan
Aged
Reference Standards
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