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Robotic mitral valve plasty for isolated clefts of mitral valve leaflets.
Asian journal of endoscopic surgery
Apr 30, 2022
A 21-year-old female patient referred to our institute had been suffering from severe mitral valve regurgitation due to a rare anomaly: a typical cleft at the posterior mitral leaflet and the other partial one at the anterior leaflet. We successfully...
KeratoScreen: Early Keratoconus Classification With Zernike Polynomial Using Deep Learning.
Cornea
Apr 20, 2022
PURPOSE: We aimed to investigate the usefulness of Zernike coefficients (ZCs) for distinguishing subclinical keratoconus (KC) from normal corneas and to evaluate the goodness of detection of the entire corneal topography and tomography characteristic...
Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.
Computers in biology and medicine
Apr 18, 2022
The most common cause of long-term disability and death in young adults is a traumatic brain injury. The decision for surgical intervention for craniotomy is dependent on the injury type and the patient's neurologic exam. The potential subtypes of in...
Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders.
Sensors (Basel, Switzerland)
Apr 13, 2022
Forecasted gait trajectories of children could be used as feedforward input to control lower limb robotic devices, such as exoskeletons and actuated orthotic devices (e.g., Powered Ankle Foot Orthosis-PAFO). Several studies have forecasted healthy ga...
Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors.
European radiology
Apr 9, 2022
OBJECTIVES: To develop and validate machine learning models to distinguish between benign and malignant bone lesions and compare the performance to radiologists.
Change in task conditions leads to changes in intermittency in intermittent feedback control employed by CNS in control of human stance.
Biological cybernetics
Apr 2, 2022
Event-driven intermittent feedback control is a form of feedback control in which the corrective control action is only initiated intermittently when the variables of interest exceed certain threshold criteria. It has been reported in the literature ...
A fully automated sex estimation for proximal femur X-ray images through deep learning detection and classification.
Legal medicine (Tokyo, Japan)
Mar 23, 2022
PURPOSE: To develop a fully automated deep learning pipeline using digital radiographs to detect the proximal femur region for accurate automated sex estimation.
The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.
Journal of psychoactive drugs
Mar 15, 2022
To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we performed a structured face-to-face interview with GPT-users about DSM-IV-dependence-criteria (sedatives), consume-motives and cessation-needs. Among...
A deep learning tool without muscle-by-muscle grading to differentiate myositis from facio-scapulo-humeral dystrophy using MRI.
Diagnostic and interventional imaging
Mar 12, 2022
PURPOSE: The purpose of this study was to assess the capabilities of a deep learning (DL) tool to discriminate between type 1 facioscapulo-humeral dystrophy (FSHD1) and myositis using whole-body muscle magnetic resonance imaging (MRI) examination wit...
Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany.
Scientific reports
Mar 10, 2022
During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage healthcare resou...
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