AI Medical Compendium Journal:
Medical & biological engineering & computing

Showing 41 to 50 of 330 articles

Automated diagnosis of atherosclerosis using multi-layer ensemble models and bio-inspired optimization in intravascular ultrasound imaging.

Medical & biological engineering & computing Sep 18, 2024
Atherosclerosis causes heart disease by forming plaques in arterial walls. IVUS imaging provides a high-resolution cross-sectional view of coronary arteries and plaque morphology. Healthcare professionals diagnose and quantify atherosclerosis physica...
Humans Neural Networks, Computer Coronary Vessels Plaque, Atherosclerotic Ultrasonography, Interventional Atherosclerosis Image Interpretation, Computer-Assisted Algorithms Deep Learning Image Processing, Computer-Assisted
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Two-step deep-learning identification of heel keypoints from video-recorded gait.

Medical & biological engineering & computing Sep 18, 2024
Accurate and fast extraction of step parameters from video recordings of gait allows for richer information to be obtained from clinical tests such as Timed Up and Go. Current deep-learning methods are promising, but lack in accuracy for many clinica...
Gait Video Recording Heel Male Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Female Aged
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Lite-YOLOv8: a more lightweight algorithm for Tubercle Bacilli detection.

Medical & biological engineering & computing Sep 12, 2024
Deep learning is a transformative force in the medical field and it has made significant progress as a pivotal alternative to conventional manual testing methods. Detection of Tubercle Bacilli in sputum samples is faced with the problems of complex b...
Sputum Tuberculosis Mycobacterium tuberculosis Humans Algorithms Deep Learning
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Gait pattern modification based on ground contact adaptation using the robot-assisted training platform (RATP).

Medical & biological engineering & computing Aug 17, 2024
Robot-assisted rehabilitation and training systems are utilized to improve the functional recovery of individuals with mobility limitations. These systems offer structured rehabilitation through precise human-robot interaction, outperforming traditio...
Robotics Humans Walking Algorithms Gait Biomechanical Phenomena
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Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.

Medical & biological engineering & computing Aug 16, 2024
The magnetically controlled growing rod technique is an effective surgical treatment for children who have early-onset scoliosis. The length of the instrumented growing rods is adjusted regularly to compensate for the normal growth of these patients....
Scoliosis Child, Preschool Child Radiography Female Humans Reproducibility of Results Machine Learning Male Algorithms
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Leveraging feature selection for enhanced fall risk prediction in elderly using gait analysis.

Medical & biological engineering & computing Aug 10, 2024
There is no effective fall risk screening tool for the elderly that can be integrated into clinical practice. Developing a system that can be easily used in primary care services is a current need. Current studies focus on the use of multiple sensors...
Humans Neural Networks, Computer Algorithms Female Aged Accidental Falls Aged, 80 and over Gait Male Gait Analysis Risk Assessment
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Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images.

Medical & biological engineering & computing Aug 6, 2024
This work proposes a convolutional neural network (CNN) that utilizes different combinations of parametric images computed from cine cardiac magnetic resonance (CMR) images, to classify each slice for possible myocardial scar tissue presence. The CNN...
Cicatrix Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine Deep Learning ROC Curve Humans Neural Networks, Computer Female Aged Male Middle Aged
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The heart sound classification of congenital heart disease by using median EEMD-Hurst and threshold denoising method.

Medical & biological engineering & computing Aug 5, 2024
Heart sound signals are vital for the machine-assisted detection of congenital heart disease. However, the performance of diagnostic results is limited by noise during heart sound acquisition. A limitation of existing noise reduction schemes is that ...
Heart Sounds Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Signal-To-Noise Ratio Heart Defects, Congenital
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Multi-step framework for glaucoma diagnosis in retinal fundus images using deep learning.

Medical & biological engineering & computing Aug 5, 2024
Glaucoma is one of the most common causes of blindness in the world. Screening glaucoma from retinal fundus images based on deep learning is a common method at present. In the diagnosis of glaucoma based on deep learning, the blood vessels within the...
Glaucoma Algorithms Deep Learning Humans Neural Networks, Computer Optic Disk Image Processing, Computer-Assisted Fundus Oculi Image Interpretation, Computer-Assisted
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Decoding lower-limb kinematic parameters during pedaling tasks using deep learning approaches and EEG.

Medical & biological engineering & computing Jul 19, 2024
Stroke is a neurological condition that usually results in the loss of voluntary control of body movements, making it difficult for individuals to perform activities of daily living (ADLs). Brain-computer interfaces (BCIs) integrated into robotic sys...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Adult Bicycling Deep Learning Biomechanical Phenomena Algorithms Humans Lower Extremity Female Male Neural Networks, Computer Electroencephalography Young Adult
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