AIMC Topic: Predictive Value of Tests

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Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

Gastrointestinal endoscopy Aug 16, 2018
BACKGROUND AND AIMS: The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made rem...
Retrospective Studies Female Carcinoma, Squamous Cell Aged Humans Neural Networks, Computer Artificial Intelligence Diagnosis, Computer-Assisted Deep Learning Adenocarcinoma Predictive Value of Tests Esophageal Neoplasms Aged, 80 and over Sensitivity and Specificity Male Middle Aged Japan Tumor Burden
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Automated Cardiac MR Scar Quantification in Hypertrophic Cardiomyopathy Using Deep Convolutional Neural Networks.

JACC. Cardiovascular imaging Aug 15, 2018
Proof of Concept Study Humans Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Image Interpretation, Computer-Assisted Cardiomyopathy, Hypertrophic Automation Cicatrix Myocardium
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Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

Clinical and experimental rheumatology Aug 14, 2018
OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which specific and effective therapeutic interventions are still lacking. In this era of precision medicine, there is a clear need for a better definition of dis...
Disease Progression Severity of Illness Index Diagnosis, Computer-Assisted Lymphoma Humans Principal Component Analysis Neural Networks, Computer Autoantibodies Decision Support Techniques Data Mining Phenotype Diagnosis, Differential Risk Factors Predictive Value of Tests Biomarkers Aged Serologic Tests Prognosis Male Sjogren's Syndrome Female Middle Aged Reproducibility of Results
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Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

NeuroImage. Clinical Aug 11, 2018
BACKGROUND: Clinically approved antidepressants modulate the brain's emotional valence circuits, suggesting that the response of these circuits could serve as a biomarker for screening candidate antidepressant drugs. However, it is necessary that the...
Databases, Factual Psychomotor Performance Brain Emotions Humans Antidepressive Agents Treatment Outcome Predictive Value of Tests Machine Learning Photic Stimulation Magnetic Resonance Imaging
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Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles.

Clinical chemistry Aug 10, 2018
BACKGROUND: Urine steroid profiles are used in clinical practice for the diagnosis and monitoring of disorders of steroidogenesis and adrenal pathologies. Machine learning (ML) algorithms are powerful computational tools used extensively for the reco...
Datasets as Topic Clinical Chemistry Tests Adrenal Gland Diseases Algorithms Steroids Decision Support Systems, Clinical Predictive Value of Tests Humans Machine Learning
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Boosting support vector machines for cancer discrimination tasks.

Computers in biology and medicine Aug 10, 2018
Cancer is a complex disease that is caused by rapid alteration of genes. Prediction of the state of cancer in advance contributes to a better understanding of its mechanism and improves the cancer therapy process. For example, predicting the malignan...
Gene Expression Regulation, Neoplastic Support Vector Machine Predictive Value of Tests Models, Biological Humans Neoplasms
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Structural neuroimaging as clinical predictor: A review of machine learning applications.

NeuroImage. Clinical Aug 10, 2018
In this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literatu...
Humans Machine Learning Brain Predictive Value of Tests Neuroimaging Nervous System Diseases
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Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning.

PloS one Aug 8, 2018
BACKGROUND: Artificial intelligence (AI) techniques are increasingly applied to cardiovascular (CV) medicine in arenas ranging from genomics to cardiac imaging analysis. Cardiac Phase Space Tomography Analysis (cPSTA), employing machine-learned linea...
Aged Sensitivity and Specificity Male Multidetector Computed Tomography Predictive Value of Tests Humans Middle Aged Coronary Angiography Machine Learning Coronary Artery Disease Algorithms Diagnostic Techniques, Cardiovascular Female
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Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Health Status Inpatients Recovery of Function Predictive Value of Tests Time Factors Humans Cognition Biomarkers Treatment Outcome Linear Models Female Longitudinal Studies Motor Skills Male Leukocyte Count Machine Learning Motor Activity Decision Support Techniques Disability Evaluation Stroke Rehabilitation Stroke Hematocrit Inflammation Mediators
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Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.

British journal of anaesthesia Jul 31, 2018
BACKGROUND: Prevention of persistent pain after breast cancer surgery, via early identification of patients at high risk, is a clinical need. Psychological factors are among the most consistently proposed predictive parameters for the development of ...
Chronic Pain Anger Anxiety Psychiatric Status Rating Scales Depression Surveys and Questionnaires Pain Measurement Pain, Postoperative Mastectomy Cohort Studies Predictive Value of Tests Female Humans Adult Machine Learning Breast Neoplasms Middle Aged
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