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Transoral robotic narrow field oropharyngectomy for tumours of the parapharyngeal space.

The international journal of medical robotics + computer assisted surgery : MRCAS Mar 5, 2020
The advent of transoral robotic surgery (TORS) has allowed transoral approaches for parapharyngeal space (PPS) tumours to be re-evaluated. It provides enhanced visualisation and instrument access for appropriate tumours. We describe a specific techni...
Robotics Robotic Surgical Procedures Cysts Oropharynx Parapharyngeal Space Humans Female Aged Adult Male
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Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI protocols.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 5, 2020
Medical image segmentation is one of the most crucial issues in medical image processing and analysis. In general, segmentation of the various structures in medical images is performed for the further image analyzes such as quantification, assessment...
Femur Legg-Calve-Perthes Disease Neural Networks, Computer Humans Female Male Adolescent Child Child, Preschool Image Processing, Computer-Assisted Magnetic Resonance Imaging Femur Head Image Enhancement
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External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Thorax Mar 5, 2020
BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI...
Predictive Value of Tests Area Under Curve Neoplasm Staging Cell Transformation, Neoplastic ROC Curve Lung Neoplasms Multiple Pulmonary Nodules Early Detection of Cancer Neoplasm Invasiveness Prognosis Retrospective Studies Female Aged Adult Male Middle Aged Risk Assessment Incidence Cohort Studies Humans Neural Networks, Computer Artificial Intelligence Algorithms Databases, Factual
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Latent Phase Identification of High-Frequency Micro-Scale Gamma Spike Transients in the Hypoxic Ischemic EEG of Preterm Fetal Sheep Using Spectral Analysis and Fuzzy Classifiers.

Sensors (Basel, Switzerland) Mar 5, 2020
Premature babies are at high risk of serious neurodevelopmental disabilities, which in many cases are related to perinatal hypoxic-ischemic encephalopathy (HIE). Studies of neuroprotection in animal models consistently suggest that treatment must be ...
Fuzzy Logic Action Potentials Electroencephalography Sheep Hypoxia-Ischemia, Brain Pregnancy Female Animals
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A pilot trial of Convolution Neural Network for automatic retention-monitoring of capsule endoscopes in the stomach and duodenal bulb.

Scientific reports Mar 5, 2020
The retention of a capsule endoscope (CE) in the stomach and the duodenal bulb during the examination is a troublesome problem, which can make the medical staff spend several hours observing whether the CE enters the descending segment of the duodenu...
Automation Capsule Endoscopy Stomach Capsule Endoscopes Foreign Bodies Middle Aged Adolescent Monitoring, Intraoperative Image Processing, Computer-Assisted Duodenum Humans Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Neural Networks, Computer Algorithms Retrospective Studies Female Aged
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CHD Risk Minimization through Lifestyle Control: Machine Learning Gateway.

Scientific reports Mar 5, 2020
Studies on the influence of a modern lifestyle in abetting Coronary Heart Diseases (CHD) have mostly focused on deterrent health factors, like smoking, alcohol intake, cheese consumption and average systolic blood pressure, largely disregarding the i...
Humans Machine Learning Prognosis Female Risk Factors Aged Aged, 80 and over Young Adult Adult Male Healthy Lifestyle Middle Aged Diet Adolescent Follow-Up Studies Coronary Disease
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Classification models for Invasive Ductal Carcinoma Progression, based on gene expression data-trained supervised machine learning.

Scientific reports Mar 5, 2020
Early detection of breast cancer and its correct stage determination are important for prognosis and rendering appropriate personalized clinical treatment to breast cancer patients. However, despite considerable efforts and progress, there is a need ...
Datasets as Topic Carcinoma, Ductal, Breast Microarray Analysis Gene Ontology RNA, Neoplasm Reproducibility of Results Breast Neoplasms Transcriptome Protein Interaction Maps RNA-Seq Databases, Genetic Early Detection of Cancer Neoplasm Staging Models, Biological Supervised Machine Learning Humans Machine Learning Algorithms Female
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Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.

PloS one Mar 5, 2020
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both the structure and function of the microvasculature. Abnormalities of the retinal vasculature may reflect the degree of microvascular damage due to hype...
Deep Learning Image Processing, Computer-Assisted Hypertension Retinal Diseases Fluorescein Angiography Retinal Vessels Microvessels Aged, 80 and over Humans Asia, Eastern Adult Algorithms Male Female Middle Aged Aged Case-Control Studies
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A machine learning-based linguistic battery for diagnosing mild cognitive impairment due to Alzheimer's disease.

PloS one Mar 5, 2020
There is a limited evaluation of an independent linguistic battery for early diagnosis of Mild Cognitive Impairment due to Alzheimer's disease (MCI-AD). We hypothesized that an independent linguistic battery comprising of only the language components...
Alzheimer Disease Cognition Disorders Neuropsychological Tests Linguistics Female Aged, 80 and over Male Case-Control Studies Cognitive Dysfunction Humans Machine Learning
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The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...
Humans Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Machine Learning Retrospective Studies Female Reproducibility of Results Aged Vascular Calcification Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic
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