AIMC Topic: Severity of Illness Index

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Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease.

The Canadian journal of cardiology Aug 27, 2019
BACKGROUND: The diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) in detecting ischemia in myocardial bridging (MB) has not been investigated to date.
Coronary Stenosis Fractional Flow Reserve, Myocardial Myocardial Bridging ROC Curve Coronary Angiography Atherosclerosis Multidetector Computed Tomography Computed Tomography Angiography Humans Female Machine Learning Male Retrospective Studies Middle Aged Severity of Illness Index
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Identifying schizophrenia subgroups using clustering and supervised learning.

Schizophrenia research Aug 24, 2019
Schizophrenia has a 1% incidence rate world-wide and those diagnosed present with positive (e.g. hallucinations, delusions), negative (e.g. apathy, asociality), and cognitive symptoms. However, both symptom burden and associated brain alterations are...
Schizophrenia Image Interpretation, Computer-Assisted Pattern Recognition, Automated Cluster Analysis Organ Size Humans Area Under Curve Brain Supervised Machine Learning Female Adult Male Severity of Illness Index Psychiatric Status Rating Scales Magnetic Resonance Imaging
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Identifying Phenotypes of Atopic Dermatitis in a Longitudinal United States Cohort Using Unbiased Statistical Clustering.

The Journal of investigative dermatology Aug 22, 2019
Longitudinal Studies Cluster Analysis Registries Age of Onset Dermatitis, Atopic Phenotype Female Infant, Newborn Male Infant Humans Severity of Illness Index Machine Learning Diagnosis, Computer-Assisted Child, Preschool Child United States
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Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry.

JACC. Cardiovascular imaging Aug 14, 2019
OBJECTIVES: This study was conducted to investigate the influence of coronary artery calcium (CAC) score on the diagnostic performance of machine-learning-based coronary computed tomography (CT) angiography (cCTA)-derived fractional flow reserve (CT-...
Humans Machine Learning Female Reproducibility of Results Aged Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Registries Coronary Artery Disease Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Europe Vascular Calcification Asia Computed Tomography Angiography Fractional Flow Reserve, Myocardial North America
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Neural-network classification of cardiac disease from P cardiovascular magnetic resonance spectroscopy measures of creatine kinase energy metabolism.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 12, 2019
BACKGROUND: The heart's energy demand per gram of tissue is the body's highest and creatine kinase (CK) metabolism, its primary energy reserve, is compromised in common heart diseases. Here, neural-network analysis is used to test whether noninvasive...
Magnetic Resonance Spectroscopy Phosphocreatine Phosphorus Isotopes Creatine Kinase Humans Kinetics Reproducibility of Results Neural Networks, Computer Adenosine Triphosphate Aged Machine Learning Heart Diseases Aged, 80 and over Biomarkers Energy Metabolism Young Adult Female Adult Male Middle Aged Severity of Illness Index Predictive Value of Tests Myocardium
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Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome.

The American journal of cardiology Aug 8, 2019
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and machine-learning-based CT-derived fractional flow reserve (CT-FFR) to identify adverse cardiac outcome. Data of 82 patients (60 ± 11 years, 62% men) who u...
Humans Machine Learning Prognosis Retrospective Studies Female Survival Rate Male Coronary Stenosis Coronary Angiography Fractional Flow Reserve, Myocardial Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Middle Aged Severity of Illness Index ROC Curve United States Follow-Up Studies
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Identifying key gait features associated with the radiological grade of knee osteoarthritis.

Osteoarthritis and cartilage Aug 7, 2019
PURPOSE: Knee osteoarthritis (KOA) is characterized by pain and decreased gait function. This study assessed key features that can be used as mechanical biomarkers for KOA severity and progression. The identified features were validated statistically...
Severity of Illness Index Radiography Humans Gait Machine Learning Gait Analysis Female Osteoarthritis, Knee Aged Adult Male Middle Aged
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A neural network-based software to recognise blepharospasm symptoms and to measure eye closure time.

Computers in biology and medicine Jul 31, 2019
Blepharospasm (BSP) is an adult-onset focal dystonia with phenomenologically heterogeneous effects, including, but not limited to, blinks, brief or prolonged spasms, and a narrowing or closure of the eyelids. In spite of the clear and well-known symp...
Blepharospasm Aged Humans Male Blinking Neural Networks, Computer Middle Aged Software Severity of Illness Index Female Diagnosis, Computer-Assisted
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Artificial neural networks accurately predict intra-abdominal infection in moderately severe and severe acute pancreatitis.

Journal of digestive diseases Jul 21, 2019
OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in predicting intra-abdominal infection in moderately severe (MASP) and severe acute pancreatitis (SAP) compared with that of a logistic regression mode...
Pancreatitis Intraabdominal Infections Risk Factors ROC Curve Humans Adult Logistic Models Neural Networks, Computer Male Predictive Value of Tests Prognosis Models, Biological Middle Aged Retrospective Studies APACHE Severity of Illness Index Female
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Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.

Medical image analysis Jul 19, 2019
Grading spondylolisthesis into several stages from MRI images is challenging because detecting critical vertebrae and locating landmarks in images of different characteristics is difficult. We propose Faster Adversarial Recognition (FAR) network to a...
Humans Neural Networks, Computer Severity of Illness Index Magnetic Resonance Imaging Anatomic Landmarks Image Interpretation, Computer-Assisted Pattern Recognition, Automated Spondylolisthesis
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