AIMC Topic: Feasibility Studies
Clear Filters Showing 541 to 550 of 897 articles
Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept.
Clinical radiology
Nov 29, 2019
AIM: To investigate the feasibility of applying a deep convolutional neural network (CNN) for detection/localisation of acute proximal femoral fractures (APFFs) on hip radiographs.
A feasibility study of deep learning for predicting hemodynamics of human thoracic aorta.
Journal of biomechanics
Nov 26, 2019
Numerical analysis methods including finite element analysis (FEA), computational fluid dynamics (CFD), and fluid-structure interaction (FSI) analysis have been used to study the biomechanics of human tissues and organs, as well as tissue-medical dev...
Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.
Radiology
Nov 19, 2019
Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve incre...
Female
Aged
Aged, 80 and over
Young Adult
Adult
Sensitivity and Specificity
Breast Neoplasms
Middle Aged
Humans
Neural Networks, Computer
Algorithms
Retrospective Studies
Predictive Value of Tests
Deep Learning
Ultrasonography, Mammary
Cohort Studies
Feasibility Studies
Lymph Nodes
Image Interpretation, Computer-Assisted
Lymphatic Metastasis
Finding relevant free-text radiology reports at scale with IBM Watson Content Analytics: a feasibility study in the UK NHS.
Journal of biomedical semantics
Nov 12, 2019
BACKGROUND: Significant amounts of health data are stored as free-text within clinical reports, letters, discharge summaries and notes. Busy clinicians have limited time to read such large amounts of free-text and are at risk of information overload ...
Coronary artery calcium score quantification using a deep-learning algorithm.
Clinical radiology
Nov 11, 2019
AIM: To investigate the impact of a deep-learning algorithm on the quantification of coronary artery calcium score (CACS) and the stratification of cardiac risk.
The feasibility of developing biomarkers from peripheral blood mononuclear cell RNAseq data in children with juvenile idiopathic arthritis using machine learning approaches.
Arthritis research & therapy
Nov 9, 2019
BACKGROUND: The response to treatment for juvenile idiopathic arthritis (JIA) can be staged using clinical features. However, objective laboratory biomarkers of remission are still lacking. In this study, we used machine learning to predict JIA activ...
Computer-assisted assessment of colonic polyp histopathology using probe-based confocal laser endomicroscopy.
International journal of colorectal disease
Nov 6, 2019
INTRODUCTION: Probe-based confocal laser endomicroscopy (pCLE) is a promising modality for classifying polyp histology in vivo, but decision making in real-time is hampered by high-magnification targeting and by the learning curve for image interpret...
Machine Learning
Female
Reproducibility of Results
Aged
Aged, 80 and over
Humans
Colonic Neoplasms
Tumor Burden
Colonic Polyps
Image Interpretation, Computer-Assisted
Observer Variation
Clinical Competence
Male
Microscopy, Confocal
Middle Aged
Predictive Value of Tests
Colonoscopy
Feasibility Studies
Diagnosis, Computer-Assisted
Feasibility of two-dimensional dose distribution deconvolution using convolution neural networks.
Medical physics
Nov 6, 2019
PURPOSE: The purpose of this study was to investigate the feasibility of two-dimensional (2D) dose distribution deconvolution using convolutional neural networks (CNNs) instead of an analytical approach for an in-house scintillation detector that has...
Feasibility of a Sensor-Based Gait Event Detection Algorithm for Triggering Functional Electrical Stimulation during Robot-Assisted Gait Training.
Sensors (Basel, Switzerland)
Nov 5, 2019
Technologies such as robot-assisted gait trainers or functional electrical stimulation can improve the rehabilitation process of people affected with gait disorders due to stroke or other neurological defects. By combining both technologies, the pote...
Robot-assisted Nipple-sparing Mastectomy with Immediate Breast Reconstruction: An Initial Experience.
Scientific reports
Oct 30, 2019
Seeking smaller and indistinct incisions, physicians have attempted endoscopic breast surgery in breast cancer patients. Unfortunately, there are some limitations in the range of movement and visualization of the operation field. Potentially addressi...
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