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Healthy Volunteers - AI Medical Compendium

AIMC Topic: Healthy Volunteers

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Machine learning assisted classification between diabetic polyneuropathy and healthy subjects using plantar pressure and temperature data: a feasibility study.

Computer methods in biomechanics and biomedical engineering Jun 3, 2024
Automated and early detection of diabetics with polyneuropathy in an ambulatory health monitoring setup may reduce the major risk factors for diabetic patients. Increased and localized plantar pressure associated with impaired pain and temperature is...
Female Temperature Adult Male Humans Machine Learning Healthy Volunteers Pressure Foot Diabetic Neuropathies Middle Aged Principal Component Analysis Feasibility Studies
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Prediction of Achilles Tendon Force During Common Motor Tasks From Markerless Video.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 3, 2024
Remodeling of the Achilles tendon (AT) is partly driven by its mechanical environment. AT force can be estimated with neuromusculoskeletal (NMSK) modeling; however, the complex experimental setup required to perform the analyses confines use to the l...
Walking Humans Running Healthy Volunteers Biomechanical Phenomena Algorithms Young Adult Neural Networks, Computer Video Recording Male Achilles Tendon Adult Female Proof of Concept Study Smartphone
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Across Sessions and Subjects Domain Adaptation for Building Robust Myoelectric Interface.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 27, 2024
Gesture interaction via surface electromyography (sEMG) signal is a promising approach for advanced human-computer interaction systems. However, improving the performance of the myoelectric interface is challenging due to the domain shift caused by t...
Electromyography Healthy Volunteers Gestures User-Computer Interface Muscle, Skeletal Young Adult Adult Male Humans Algorithms Neural Networks, Computer Female
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Rapid 2D Na MRI of the calf using a denoising convolutional neural network.

Magnetic resonance imaging Apr 19, 2024
PURPOSE: Na MRI can be used to quantify in-vivo tissue sodium concentration (TSC), but the inherently low Na signal leads to long scan times and/or noisy or low-resolution images. Reconstruction algorithms such as compressed sensing (CS) have been pr...
Muscle, Skeletal Sodium Healthy Volunteers Signal-To-Noise Ratio Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Leg Sodium Isotopes Humans Neural Networks, Computer Female Adult Algorithms Prospective Studies
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Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers.

European radiology experimental Apr 15, 2024
BACKGROUND: To investigate the potential of combining compressed sensing (CS) and artificial intelligence (AI), in particular deep learning (DL), for accelerating three-dimensional (3D) magnetic resonance imaging (MRI) sequences of the knee.
Artificial Intelligence Deep Learning Magnetic Resonance Imaging Healthy Volunteers Humans Anterior Cruciate Ligament
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Machine learning-based automated scan prescription of lumbar spine MRI acquisitions.

Magnetic resonance imaging Apr 3, 2024
PURPOSE: High quality scan prescription that optimally covers the area of interest with scan planes aligned to relevant anatomical structures is crucial for error-free radiologic interpretation. The goal of this project was to develop a machine learn...
Low Back Pain Adult Machine Learning Male Lumbar Vertebrae Middle Aged Software Humans Healthy Volunteers Female Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging
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A Novel Framework Based on Deep Learning Architecture for Continuous Human Activity Recognition with Inertial Sensors.

Sensors (Basel, Switzerland) Mar 29, 2024
Frameworks for human activity recognition (HAR) can be applied in the clinical environment for monitoring patients' motor and functional abilities either remotely or within a rehabilitation program. Deep Learning (DL) models can be exploited to perfo...
Engineering Activities of Daily Living Healthy Volunteers Human Activities Humans Deep Learning
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Faster acquisition of magnetic resonance imaging sequences of the knee via deep learning reconstruction: a volunteer study.

Clinical radiology Mar 26, 2024
AIM: To evaluate whether deep learning reconstruction (DLR) can accelerate the acquisition of magnetic resonance imaging (MRI) sequences of the knee for clinical use.
Signal-To-Noise Ratio Male Middle Aged Deep Learning Healthy Volunteers Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Knee Joint Humans Female Adult
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Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface.

Journal of neural engineering Jan 17, 2024
Motor imagery (MI) brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have been developed primarily for stroke rehabilitation, however, due to limited stroke data, current deep learning methods for cross-subject classification rely ...
Humans Electroencephalography Stroke Algorithms Deep Learning Imagery, Psychotherapy Healthy Volunteers Brain-Computer Interfaces Imagination
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Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers.

Journal of affective disorders Nov 12, 2023
BACKGROUND: Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is primarily determined by reported symptomatology. As symptoms may overlap, misdiagnosis is common, potentially leading to ineffective or destabilizing trea...
Healthy Volunteers Bipolar Disorder Humans Electroencephalography Depressive Disorder, Major Schizophrenia Deep Learning
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