AIMC Topic: Feasibility Studies

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Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.

Clinical breast cancer Dec 5, 2019
BACKGROUND: Axillary lymph node status is important for breast cancer staging and treatment planning as the majority of breast cancer metastasis spreads through the axillary lymph nodes. There is currently no reliable noninvasive imaging method to de...
Magnetic Resonance Imaging Sentinel Lymph Node Axilla Humans Anatomic Landmarks Radiopharmaceuticals Breast Neoplasms Neural Networks, Computer Feasibility Studies Positron-Emission Tomography ROC Curve Female Datasets as Topic Image Processing, Computer-Assisted Reproducibility of Results Fluorodeoxyglucose F18 Lymphatic Metastasis
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Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Microscopy Datasets as Topic Liver Biopsy Feasibility Studies Non-alcoholic Fatty Liver Disease Humans Animals Severity of Illness Index Mice Rats Disease Models, Animal Deep Learning Image Processing, Computer-Assisted
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Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network-Feasibility Study.

Sensors (Basel, Switzerland) Dec 3, 2019
Electroencephalography (EEG) has relatively poor spatial resolution and may yield incorrect brain dynamics and distort topography; thus, high-density EEG systems are necessary for better analysis. Conventional methods have been proposed to solve thes...
Humans Neural Networks, Computer Machine Learning Normal Distribution Electroencephalography Signal Processing, Computer-Assisted Feasibility Studies Brain-Computer Interfaces Algorithms Brain Computer Simulation Adult
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The integrative knowledge base for miRNA-mRNA expression in colorectal cancer.

Scientific reports Dec 2, 2019
"miRNA colorectal cancer" (https://mirna-coadread.omics.si/) is a freely available web application for studying microRNA and mRNA expression and their correlation in colorectal cancer. To the best of our knowledge, "miRNA colorectal cancer" has the l...
Humans Colorectal Neoplasms MicroRNAs Rectum Colon Feasibility Studies Gene Expression Profiling Knowledge Bases RNA, Messenger High-Throughput Screening Assays Gene Expression Regulation, Neoplastic
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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.
Feasibility Studies Hip Fractures Proof of Concept Study Sensitivity and Specificity Retrospective Studies Male Female Humans Middle Aged Aged Artificial Intelligence Adolescent Aged, 80 and over Adult
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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...
Deep Learning Feasibility Studies Aorta, Thoracic Blood Flow Velocity Finite Element Analysis Humans Models, Cardiovascular Computer Simulation Hemodynamics
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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...
Neural Networks, Computer Algorithms Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Ultrasonography, Mammary Feasibility Studies Cohort Studies Image Interpretation, Computer-Assisted Humans Lymph Nodes Lymphatic Metastasis Predictive Value of Tests Sensitivity and Specificity Breast Neoplasms Middle Aged Deep Learning
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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 ...
Natural Language Processing Radiology Feasibility Studies Data Mining Research Report United Kingdom National Health Programs Hydronephrosis Humans Brain Neoplasms
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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.
Coronary Disease Vascular Calcification Middle Aged Humans Deep Learning Female Electrocardiography Aged Retrospective Studies Feasibility Studies Male Tomography, X-Ray Computed
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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...
Female Male Leukocytes, Mononuclear Child Humans Machine Learning Databases, Factual Biomarkers Methotrexate Arthritis, Juvenile Gene Regulatory Networks Sequence Analysis, RNA Biological Products Feasibility Studies
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