AIMC Topic: Observer Variation

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A Novel Tool for Evaluation of Mild Traumatic Brain Injury Patients in the Emergency Department: Does Robotic Assessment of Neuromotor Performance Following Injury Predict the Presence of Postconcussion Symptoms at Follow-up?

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine Mar 21, 2016
OBJECTIVES: Postconcussion symptoms (PCS) are a common complication of mild traumatic brain injury (TBI). Currently, there is no validated clinically available method to reliably predict at the time of injury who will subsequently develop PCS. The pu...
Female Young Adult Adult Sensitivity and Specificity Male Humans Emergency Service, Hospital Observer Variation Diagnostic Techniques, Neurological Head Injuries, Closed Post-Concussion Syndrome Middle Aged Urban Population Follow-Up Studies Brain Injuries Robotics
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Evaluation of Underlying Lymphocytic Thyroiditis With Histogram Analysis Using Grayscale Ultrasound Images.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Feb 17, 2016
OBJECTIVES: The purpose of this study was to evaluate diagnostic performance of histogram analysis using grayscale ultrasound (US) images in the diagnosis of lymphocytic thyroiditis.
Image Interpretation, Computer-Assisted Observer Variation Image Enhancement Thyroiditis, Autoimmune Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Adolescent Ultrasonography Data Interpretation, Statistical Humans Machine Learning Algorithms Female Reproducibility of Results
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Computer-Aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods.

Ultrasound in medicine & biology Jan 21, 2016
This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs catego...
Breast Neoplasms United States Support Vector Machine Ultrasonography, Mammary Models, Biological Humans Machine Learning Female Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Observer Variation Practice Guidelines as Topic Pattern Recognition, Automated
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Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system.

Applied ergonomics Jan 2, 2016
In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light, light, moderate, and heavy. Inter-participant variability (physiological a...
Energy Metabolism Observer Variation Work Task Performance and Analysis Motor Activity Oxygen Consumption Physical Exertion Body Weight Heart Rate Healthy Volunteers Humans Neural Networks, Computer Young Adult Adult Sensitivity and Specificity Male Middle Aged Fuzzy Logic
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Image quality and effective dose of a robotic flat panel 3D C-arm vs computed tomography.

The international journal of medical robotics + computer assisted surgery : MRCAS Dec 18, 2015
BACKGROUND: The aim of this study was to determine the effective dose and corresponding image quality of different imaging protocols of a robotic 3D flat panel C-arm in comparison to computed tomography (CT).
Phantoms, Imaging Thermoluminescent Dosimetry Titanium Cadaver Observer Variation Radiation Dosage Pedicle Screws Swine Imaging, Three-Dimensional Image Processing, Computer-Assisted Robotics Humans Tomography, X-Ray Computed Female Animals Male
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Low mechanical index contrast mode versus high mechanical index contrast mode: which is a more sensitive method for detecting Sonazoid microbubbles in the liver of normal subjects?

Journal of medical ultrasonics (2001) Nov 14, 2015
PURPOSE: Using the low mechanical index (MI) contrast mode and the high MI contrast mode of contrast-enhanced ultrasonography, we evaluated which method is more sensitive for detecting Sonazoid microbubbles in the liver of normal subjects.
Male Liver Portal Vein Humans Middle Aged Oxides Prospective Studies Microbubbles Time Factors Female Ultrasonography Adult Contrast Media Iron Ferric Compounds Observer Variation
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Automated Classification of Circulating Tumor Cells and the Impact of Interobsever Variability on Classifier Training and Performance.

Journal of immunology research Oct 4, 2015
Application of personalized medicine requires integration of different data to determine each patient's unique clinical constitution. The automated analysis of medical data is a growing field where different machine learning techniques are used to mi...
Microscopy, Fluorescence Observer Variation Antigens, Surface Reproducibility of Results Neoplasms Humans Support Vector Machine Algorithms Bayes Theorem Biomarkers Neoplastic Cells, Circulating
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Information extraction from multi-institutional radiology reports.

Artificial intelligence in medicine Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
Humans Machine Learning Databases, Factual Information Storage and Retrieval Semantics Natural Language Processing Pattern Recognition, Automated Radiology Information Systems Medical Record Linkage Electronic Health Records Discriminant Analysis Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted United States Data Mining Models, Theoretical Observer Variation Predictive Value of Tests
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Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.

Proceedings of the National Academy of Sciences of the United States of America Sep 9, 2015
A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new in...
Mice, Inbred C57BL Video Recording Observer Variation Pattern Recognition, Automated Models, Animal Behavior, Animal Social Behavior Animals Algorithms Male Computers Image Processing, Computer-Assisted Female Machine Learning Mice Reproducibility of Results Software Mice, Inbred BALB C
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Going beyond a First Reader: A Machine Learning Methodology for Optimizing Cost and Performance in Breast Ultrasound Diagnosis.

Ultrasound in medicine & biology Sep 6, 2015
The goal of this study was to devise a machine learning methodology as a viable low-cost alternative to a second reader to help augment physicians' interpretations of breast ultrasound images in differentiating benign and malignant masses. Two indepe...
Area Under Curve Ultrasonography, Mammary Humans Female Observer Variation Machine Learning Sensitivity and Specificity Breast Neoplasms Middle Aged Image Processing, Computer-Assisted
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