AIMC Topic: Sensitivity and Specificity

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Linear predictive coding distinguishes spectral EEG features of Parkinson's disease.

Parkinsonism & related disorders Aug 23, 2020
OBJECTIVE: We have developed and validated a novel EEG-based signal processing approach to distinguish PD and control patients: Linear-predictive-coding EEG Algorithm for PD (LEAPD). This method efficiently encodes EEG time series into features that ...
Female Reproducibility of Results Aged Sensitivity and Specificity Male Humans Machine Learning Middle Aged Parkinson Disease Electroencephalography Signal Processing, Computer-Assisted
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Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning.

Journal of dairy science Aug 20, 2020
Bovine tuberculosis (bTB) is a zoonotic disease in cattle that is transmissible to humans, distributed worldwide, and considered endemic throughout much of England and Wales. Mid-infrared (MIR) analysis of milk is used routinely to predict fat and pr...
Female Sensitivity and Specificity Animals Deep Learning England Cattle Predictive Value of Tests Lactation Milk Spectrophotometry, Infrared Neural Networks, Computer Phenotype Scotland Tuberculosis, Bovine
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Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports.

PloS one Aug 19, 2020
STUDY AIM: To develop and apply a natural language processing algorithm for characterization of patients diagnosed with chronic pancreatitis in a diverse integrated U.S. healthcare system.
Middle Aged Risk Factors Image Processing, Computer-Assisted Aged Body Mass Index Diabetes Complications Natural Language Processing Adult Humans Pancreatic Neoplasms Pancreatitis, Chronic Sensitivity and Specificity Pancreas Retrospective Studies Male Smoking Tomography, X-Ray Computed Female Proportional Hazards Models Kaplan-Meier Estimate
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Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study.

International journal of environmental research and public health Aug 18, 2020
Myometrial invasion affects the prognosis of endometrial cancer. However, discrepancies exist between pre-operative magnetic resonance imaging staging and post-operative pathological staging. This study aims to validate the accuracy of artificial int...
Magnetic Resonance Imaging Neoplasm Invasiveness Artificial Intelligence Neoplasm Staging Female Endometrial Neoplasms Humans Sensitivity and Specificity Myometrium Neural Networks, Computer Deep Learning Pilot Projects
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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model.

Journal of visualized experiments : JoVE Aug 16, 2020
Machine learning (ML) algorithms permit the integration of different features into a model to perform classification or regression tasks with an accuracy exceeding its constituents. This protocol describes the development of an ML algorithm to predic...
Early Detection of Cancer Neural Networks, Computer Machine Learning Bone Neoplasms Female Positron Emission Tomography Computed Tomography Sensitivity and Specificity Animals Image Processing, Computer-Assisted Rats Magnetic Resonance Imaging Humans Disease Models, Animal
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Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs.

Acta orthopaedica Aug 12, 2020
Background and purpose - Deep-learning approaches based on convolutional neural networks (CNNs) are gaining interest in the medical imaging field. We evaluated the diagnostic performance of a CNN to discriminate femoral neck fractures, trochanteric f...
Orthopedic Surgeons Neural Networks, Computer Female Aged, 80 and over Outcome Assessment, Health Care Humans Sensitivity and Specificity Hip Fractures Diagnosis, Computer-Assisted Male Femur Deep Learning Medical Records, Problem-Oriented Diagnosis, Differential Radiography Femoral Neck Fractures
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Comparing different deep learning architectures for classification of chest radiographs.

Scientific reports Aug 12, 2020
Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neural networks,...
Thorax Betacoronavirus Pneumonia, Viral Deep Learning ROC Curve Coronavirus Infections Radiography, Thoracic Humans Neural Networks, Computer Pandemics COVID-19 SARS-CoV-2 Sensitivity and Specificity Diagnosis, Computer-Assisted
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Rapid identification of COVID-19 severity in CT scans through classification of deep features.

Biomedical engineering online Aug 12, 2020
BACKGROUND: Chest CT is used for the assessment of the severity of patients infected with novel coronavirus 2019 (COVID-19). We collected chest CT scans of 202 patients diagnosed with the COVID-19, and try to develop a rapid, accurate and automatic t...
Humans Pandemics Young Adult Adult Sensitivity and Specificity Male Middle Aged COVID-19 Tomography, X-Ray Computed Female Aged Aged, 80 and over Child Deep Learning Image Processing, Computer-Assisted Coronavirus Infections Adolescent Pneumonia, Viral Time Factors Child, Preschool
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Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligence.

Journal of gastroenterology Aug 10, 2020
BACKGROUND: Although optimal treatment of superficial esophageal squamous cell carcinoma (SCC) requires accurate evaluation of cancer invasion depth, the current process is rather subjective and may vary by observer. We, therefore, aimed to develop a...
Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Neoplasm Invasiveness Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Narrow Band Imaging Esophagoscopy Female Aged Sensitivity and Specificity Male Middle Aged
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A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Aug 9, 2020
Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA e...
Microarray Analysis Kaplan-Meier Estimate Circulating MicroRNA MicroRNAs Pancreatic Neoplasms Predictive Value of Tests Principal Component Analysis Survival Analysis Sensitivity and Specificity Computational Biology Gene Expression Regulation, Neoplastic Humans Early Detection of Cancer Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results
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