AIMC Topic:
Predictive Value of Tests

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Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFR): Impact of iterative and filtered back projection reconstruction techniques.

Journal of cardiovascular computed tomography Oct 26, 2018
BACKGROUND: The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFR) has not been investigated. CT-FFR values and processing time of two reconstructio...
Workflow Coronary Vessels Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Severity of Illness Index Machine Learning Predictive Value of Tests Retrospective Studies Coronary Angiography Female Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Reproducibility of Results Aged Male Middle Aged
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JOURNAL CLUB: Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information.

AJR. American journal of roentgenology Oct 24, 2018
OBJECTIVE: When treatment decisions are being made for patients with acute ischemic stroke, timely and accurate outcome prediction plays an important role. The optimal rehabilitation strategy also relies on long-term outcome predictions. The decision...
Demography Algorithms Predictive Value of Tests Biomarkers Humans Stroke Prognosis Machine Learning Brain Ischemia Retrospective Studies Tomography, X-Ray Computed Computed Tomography Angiography Female Male Middle Aged Decision Trees
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Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome.

EBioMedicine Oct 22, 2018
BACKGROUND: Multicolor flow cytometry (MFC) analysis is widely used to identify minimal residual disease (MRD) after treatment for acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). However, current manual interpretation suffers from dr...
Humans Machine Learning Female Survival Rate Disease-Free Survival Myelodysplastic Syndromes Leukemia, Myeloid, Acute Neoplasm, Residual Male Predictive Value of Tests Flow Cytometry
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Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS.

Journal of cardiovascular computed tomography Oct 21, 2018
BACKGROUND: To determine whether machine learning with histogram analysis of coronary CT angiography (CCTA) yields higher diagnostic performance for coronary plaque characterization than the conventional cut-off method using the median CT number.
Male Predictive Value of Tests Computed Tomography Angiography Coronary Artery Disease Coronary Angiography Humans Retrospective Studies Coronary Vessels Female Machine Learning Ultrasonography, Interventional Multidetector Computed Tomography Reproducibility of Results Plaque, Atherosclerotic Aged Radiographic Image Interpretation, Computer-Assisted
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A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Oct 16, 2018
BACKGROUND: Oncotype DX(ODX) is a 21-gene breast cancer recurrence score(RS) assay that aids in decision-making for chemotherapy in early-stage hormone receptor-positive(HR+)breast cancer. We developed a prediction tool using machine learning for hig...
Predictive Value of Tests Neoplasm Staging Neoplasm Grading Patient Selection Female Aged Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Risk Assessment Neoplasm Invasiveness Decision Making Humans Machine Learning Retrospective Studies Republic of Korea
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Artificial Intelligence Using Open Source BI-RADS Data Exemplifying Potential Future Use.

Journal of the American College of Radiology : JACR Oct 15, 2018
OBJECTIVES: With much hype about artificial intelligence (AI) rendering radiologists redundant, a simple radiologist-augmented AI workflow is evaluated; the premise is that inclusion of a radiologist's opinion into an AI algorithm would make the algo...
Humans Artificial Intelligence Algorithms Female Breast Neoplasms Diagnosis, Computer-Assisted Predictive Value of Tests
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A Survey on Machine Learning Approaches for Automatic Detection of Voice Disorders.

Journal of voice : official journal of the Voice Foundation Oct 11, 2018
The human voice production system is an intricate biological device capable of modulating pitch and loudness. Inherent internal and/or external factors often damage the vocal folds and result in some change of voice. The consequences are reflected in...
Wavelet Analysis Reproducibility of Results Voice Disorders Humans Diagnosis, Computer-Assisted Larynx Machine Learning Predictive Value of Tests Voice Quality Acoustics Pattern Recognition, Automated
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Automated seizure prediction.

Epilepsy & behavior : E&B Oct 11, 2018
In the past two decades, significant advances have been made on automated electroencephalogram (EEG)-based diagnosis of epilepsy and seizure detection. A number of innovative algorithms have been introduced that can aid in epilepsy diagnosis with a h...
Machine Learning Algorithms Quality of Life Predictive Value of Tests Electroencephalography Humans Neural Networks, Computer Epilepsy Seizures
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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.

Clinical physiology and functional imaging Oct 3, 2018
BACKGROUND: 18F-FDG-PET/CT has become a standard for assessing treatment response in patients with lymphoma. A subjective interpretation of the scan based on the Deauville 5-point scale has been widely adopted. However, inter-observer variability due...
Male Middle Aged Adolescent Treatment Outcome Liver Aged Aged, 80 and over Young Adult Adult Image Interpretation, Computer-Assisted Humans Automation Predictive Value of Tests Neural Networks, Computer Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography Retrospective Studies Mediastinum Radiopharmaceuticals Female Hodgkin Disease Lymphoma, Non-Hodgkin Reproducibility of Results
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Optical classification of neoplastic colorectal polyps - a computer-assisted approach (the COACH study).

Scandinavian journal of gastroenterology Sep 29, 2018
BACKGROUND AND AIMS: Clinical data suggest that the quality of optical diagnoses of colorectal polyps differs markedly among endoscopists. The aim of this study was to develop a computer program that was able to differentiate neoplastic from non-neop...
Image Processing, Computer-Assisted Predictive Value of Tests Colorectal Neoplasms Colonic Polyps Humans Male Biopsy Germany Machine Learning Middle Aged Hospitals, University Narrow Band Imaging Female Colonoscopy Aged
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