AIMC Topic: Young Adult

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Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

World neurosurgery Mar 14, 2020
BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern among patients and their relatives. The aim of this study was to evaluate attitudes of patients and their relatives regarding use of AI in neurosurgery.
Patient Care Planning Female Aged Aged, 80 and over Young Adult Adolescent Adult Humans Image Processing, Computer-Assisted Artificial Intelligence Cross-Sectional Studies Neurosurgery Patients Male Family Middle Aged Attitude Postoperative Complications Surveys and Questionnaires
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Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback.

Sensors (Basel, Switzerland) Mar 14, 2020
Optimizing neurofeedback (NF) and brain-computer interface (BCI) implementations constitutes a challenge across many fields and has so far been addressed by, among others, advancing signal processing methods or predicting the user's control ability f...
Neurofeedback Imagery, Psychotherapy Humans Sensorimotor Cortex Female Young Adult Adult Male Robotics Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces
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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Artificial Intelligence Algorithms Female Temperature Reproducibility of Results Humans Support Vector Machine Monitoring, Physiologic Models, Statistical Equipment Design Signal Processing, Computer-Assisted Body Temperature Young Adult Adult Sensitivity and Specificity Male Adolescent Normal Distribution Respiratory Rate Respiration Signal-To-Noise Ratio Infrared Rays Thermography Stochastic Processes
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Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study.

BMC musculoskeletal disorders Mar 12, 2020
BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). However, there is currently no consensus as to how best to classify MRI findings which has hampered the development of robust longitudinal epidemiolog...
Spinal Stenosis Outcome Assessment, Health Care Observer Variation Reference Standards Female Humans Reproducibility of Results Machine Learning Aged Adult Prospective Studies Aged, 80 and over Male Young Adult Middle Aged Magnetic Resonance Imaging Lumbar Vertebrae Japan
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Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis.

Heart (British Cardiac Society) Mar 11, 2020
OBJECTIVE: To assess the utility of machine learning algorithms for automatically estimating prognosis in patients with repaired tetralogy of Fallot (ToF) using cardiac magnetic resonance (CMR).
Humans Prospective Studies Prognosis Female Risk Factors Predictive Value of Tests Diagnosis, Computer-Assisted Tetralogy of Fallot Registries Deep Learning Magnetic Resonance Imaging, Cine Feasibility Studies Adolescent Young Adult Image Interpretation, Computer-Assisted Time Factors Adult Child Male Germany Electrocardiography Middle Aged Risk Assessment
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Unsupervised Machine Learning Reveals Novel Traumatic Brain Injury Patient Phenotypes with Distinct Acute Injury Profiles and Long-Term Outcomes.

Journal of neurotrauma Mar 11, 2020
The heterogeneity of traumatic brain injury (TBI) remains a core challenge for the success of interventional clinical trials. Data-driven approaches for patient stratification may help to identify TBI patient phenotypes during the acute injury period...
Time Factors Treatment Outcome Brain Injuries, Traumatic Unsupervised Machine Learning Humans Phenotype Female Young Adult Adult Male Middle Aged Adolescent
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Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach.

Sensors (Basel, Switzerland) Mar 11, 2020
Ergonomics evaluation through measurements of biomechanical parameters in real time has a great potential in reducing non-fatal occupational injuries, such as work-related musculoskeletal disorders. Assuming a correct posture guarantees the avoidance...
Posture Musculoskeletal Diseases Pattern Recognition, Automated Ergonomics Occupational Diseases Lifting Adult Biomechanical Phenomena Risk Assessment Wearable Electronic Devices Lower Extremity Humans Machine Learning Algorithms Young Adult
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Detection of Moderate Traumatic Brain Injury from Resting-State Eye-Closed Electroencephalography.

Computational intelligence and neuroscience Mar 11, 2020
Traumatic brain injury (TBI) is one of the injuries that can bring serious consequences if medical attention has been delayed. Commonly, analysis of computed tomography (CT) or magnetic resonance imaging (MRI) is required to determine the severity of...
Signal Processing, Computer-Assisted Adult Brain Concussion Humans Male Neural Networks, Computer Middle Aged Female Adolescent Aged Electroencephalography Young Adult
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The detection of age groups by dynamic gait outcomes using machine learning approaches.

Scientific reports Mar 10, 2020
Prevalence of gait impairments increases with age and is associated with mobility decline, fall risk and loss of independence. For geriatric patients, the risk of having gait disorders is even higher. Consequently, gait assessment in the clinics has ...
Acceleration Walking Speed Torso Middle Aged Adolescent Support Vector Machine Postural Balance Gait Female Aged Young Adult Adult Male Humans Neural Networks, Computer Machine Learning Algorithms
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A Noninvasive Glucose Monitoring SoC Based on Single Wavelength Photoplethysmography.

IEEE transactions on biomedical circuits and systems Mar 9, 2020
Conventional glucose monitoring methods for the growing numbers of diabetic patients around the world are invasive, painful, costly and, time-consuming. Complications aroused due to the abnormal blood sugar levels in diabetic patients have created th...
Machine Learning Algorithms Female Aged Photoplethysmography Young Adult Monitoring, Physiologic Adult Humans Equipment Design Male Signal Processing, Computer-Assisted Middle Aged Lab-On-A-Chip Devices Adolescent Amplifiers, Electronic Wearable Electronic Devices Blood Glucose
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