AIMC Topic: Young Adult

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Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks.

Computer methods in biomechanics and biomedical engineering Sep 21, 2020
Effective monitoring of heart patients according to heart signals can save a huge amount of life. In the last decade, the classification and prediction of heart diseases according to ECG signals has gained great importance for patients and doctors. I...
Support Vector Machine Signal Processing, Computer-Assisted Heart Failure Arrhythmias, Cardiac Humans Neural Networks, Computer Algorithms Female Young Adult Adult Male Middle Aged Electrocardiography
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How Social Cues in Virtual Assistants Influence Concerns and Persuasion: The Role of Voice and a Human Name.

Cyberpsychology, behavior and social networking Sep 17, 2020
The aim of this study was to test how two important types of social cues used by virtual assistants today can affect consumer concerns and persuasion. These two cues are modality (voice-based via smart speaker, voice-based via a smartphone, or text-b...
Male User-Computer Interface Persuasive Communication Cues Voice Names Attitude to Computers Humans Artificial Intelligence Female Young Adult
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Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma.

Scientific reports Sep 17, 2020
Our objective was to compare the diagnostic performance and diagnostic confidence of convolutional neural networks (CNN) to radiologists in characterizing small hypoattenuating hepatic nodules (SHHN) in colorectal carcinoma (CRC) on CT scans. Retrosp...
Humans Neural Networks, Computer Retrospective Studies Expert Testimony Tomography, X-Ray Computed Neoplasm Staging Female Radiologists Radiographic Image Interpretation, Computer-Assisted Male Observer Variation Aged Middle Aged Aged, 80 and over Diagnosis, Computer-Assisted Young Adult Liver Neoplasms Adult Liver Colorectal Neoplasms
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EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities.

Computational intelligence and neuroscience Sep 16, 2020
Emotions are fundamental for human beings and play an important role in human cognition. Emotion is commonly associated with logical decision making, perception, human interaction, and to a certain extent, human intelligence itself. With the growing ...
Classification Adult Humans Male Machine Learning Adolescent Female Emotions Young Adult Electroencephalography
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Machine Learning-Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma.

AJR. American journal of roentgenology Sep 15, 2020
This study aimed to explore the performance of machine learning (ML)-based MRI texture analysis in discriminating between well-differentiated (WD) oral squamous cell carcinoma (OSCC) and moderately or poorly differentiated OSCC. The study enrolled ...
Humans Machine Learning Retrospective Studies Predictive Value of Tests Neoplasm Grading Mouth Neoplasms Adult Female Male Carcinoma, Squamous Cell Aged Young Adult Middle Aged Magnetic Resonance Imaging Diagnosis, Differential
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New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes.

International journal of sports medicine Sep 13, 2020
The purpose of this article is to present how predictive machine learning methods can be utilized for detecting sport injury risk factors in a data-driven manner. The approach can be used for finding new hypotheses for risk factors and confirming the...
Muscle Strength Exercise Test Ankle Injuries Finland Knee Injuries Adult Male Adolescent Child Athletic Injuries Youth Sports Humans Machine Learning Female Risk Factors Young Adult
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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.

Alzheimer's & dementia : the journal of the Alzheimer's Association Sep 13, 2020
INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging d...
Amyloid beta-Peptides White Matter Neuropsychological Tests Atrophy Cerebral Small Vessel Diseases Middle Aged Disease Progression Cognitive Dysfunction Image Processing, Computer-Assisted Magnetic Resonance Imaging Young Adult Adult Male Aging Humans Machine Learning Biomarkers Brain Female Aged Aged, 80 and over
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Robotic Rehabilitation in Spinal Cord Injury: A Pilot Study on End-Effectors and Neurophysiological Outcomes.

Annals of biomedical engineering Sep 11, 2020
Robot-aided gait training (RAGT) has been implemented to provide patients with spinal cord injury (SCI) with a physiological limb activation during gait, cognitive engagement, and an appropriate stimulation of peripheral receptors, which are essentia...
Young Adult Adult Male Middle Aged Pilot Projects Humans Female Aged Electromyography Gait Models, Biological Exercise Therapy Spinal Cord Injuries Lower Extremity Muscle, Skeletal Muscle Strength Robotics
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Efficacy of endoscopic ultrasound with artificial intelligence for the diagnosis of gastrointestinal stromal tumors.

Journal of gastroenterology Sep 11, 2020
BACKGROUND: Although endoscopic ultrasound (EUS) is reported to be suitable for determining the layer from which subepithelial lesions (SELs) originate, it is difficult to distinguish gastrointestinal stromal tumor (GIST) from non-GIST using only EUS...
Gastrointestinal Stromal Tumors Middle Aged Pilot Projects Gastrointestinal Neoplasms Endosonography Humans Artificial Intelligence Retrospective Studies Female Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Aged
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Users with spinal cord injury experience of robotic Locomotor exoskeletons: a qualitative study of the benefits, limitations, and recommendations.

Journal of neuroengineering and rehabilitation Sep 11, 2020
BACKGROUND: Persons with spinal cord injury (SCI) may experience both psychological and physiological benefits from robotic locomotor exoskeleton use, and knowledgeable users may have valuable perspectives to inform future development. The objective ...
Humans Robotics Female Activities of Daily Living Aged Patient Satisfaction Adult Young Adult Spinal Cord Injuries Male Exoskeleton Device Middle Aged Qualitative Research Surveys and Questionnaires
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