AIMC Topic:
Predictive Value of Tests

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Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy.

Journal of cardiovascular computed tomography Jan 13, 2020
BACKGROUND: Advances in image reconstruction are necessary to decrease radiation exposure from coronary CT angiography (CCTA) further, but iterative reconstruction has been shown to degrade image quality at high levels. Deep-learning image reconstruc...
Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Registries Coronary Artery Disease Artifacts Coronary Vessels Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Coronary Angiography Female Reproducibility of Results Aged Humans Male Retrospective Studies Middle Aged
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Automated screening of natural language in electronic health records for the diagnosis septic shock is feasible and outperforms an approach based on explicit administrative codes.

Journal of critical care Jan 9, 2020
PURPOSE: Identification of patients for epidemiologic research through administrative coding has important limitations. We investigated the feasibility of a search based on natural language processing (NLP) on the text sections of electronic health r...
Incidence Shock, Septic Predictive Value of Tests Natural Language Processing Epidemiologic Studies Young Adult Adult Sensitivity and Specificity Middle Aged Pattern Recognition, Automated False Positive Reactions International Classification of Diseases Humans Software Databases, Factual Prospective Studies Intensive Care Units Electronic Health Records Female Hospitalization
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Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.

The Lancet. Oncology Jan 8, 2020
BACKGROUND: An increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts a strain on pathology departments. Additionally, the high intra-observer and inter-observer variability in grading can result in overtreatm...
Prospective Studies Reproducibility of Results Sweden Aged Male Humans Artificial Intelligence Middle Aged Neoplasm Grading Diagnosis, Computer-Assisted Biopsy Predictive Value of Tests Image Interpretation, Computer-Assisted Prostatic Neoplasms
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Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.

The Lancet. Oncology Jan 8, 2020
BACKGROUND: The Gleason score is the strongest correlating predictor of recurrence for prostate cancer, but has substantial inter-observer variability, limiting its usefulness for individual patients. Specialised urological pathologists have greater ...
Observer Variation Retrospective Studies Reproducibility of Results Humans Male Automation, Laboratory Diagnosis, Computer-Assisted Predictive Value of Tests Deep Learning Prostatic Neoplasms Neoplasm Grading Biopsy Image Interpretation, Computer-Assisted
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Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression.

JAMA network open Jan 3, 2020
IMPORTANCE: Social and economic costs of depression are exacerbated by prolonged periods spent identifying treatments that would be effective for a particular patient. Thus, a tool that reliably predicts an individual patient's response to treatment ...
Prognosis Female Reproducibility of Results Adult Sensitivity and Specificity Humans Machine Learning Biomarkers Support Vector Machine Predictive Value of Tests Electroencephalography Citalopram Antidepressive Agents, Second-Generation Male Middle Aged Depressive Disorder, Major Canada Treatment Outcome
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Will artificial intelligence change the job of the cardiac imaging specialist?

Archives of cardiovascular diseases Dec 30, 2019
Image Interpretation, Computer-Assisted Cardiac Imaging Techniques Humans Diagnosis, Computer-Assisted Artificial Intelligence Predictive Value of Tests Machine Learning Heart Diseases Forecasting Diffusion of Innovation Reproducibility of Results
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High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets.

Cancer immunology research Dec 23, 2019
Computational prediction of binding between neoantigen peptides and major histocompatibility complex (MHC) proteins can be used to predict patient response to cancer immunotherapy. Current neoantigen predictors focus on estimation of MHC binding aff...
Humans Data Mining Cancer Vaccines Neural Networks, Computer Mutation, Missense Antigens, Neoplasm Software Artificial Intelligence Histocompatibility Antigens Class II CD8-Positive T-Lymphocytes Algorithms Predictive Value of Tests Neoplasms Histocompatibility Antigens Class I Protein Binding Computational Biology
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Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA.

Atherosclerosis Dec 23, 2019
BACKGROUND AND AIMS: Artificial intelligence (AI) is increasing its role in diagnosis of patients with suspicious coronary artery disease. The aim of this manuscript is to develop a deep convolutional neural network (CNN) to classify coronary compute...
Predictive Value of Tests Aged Coronary Angiography Humans Male Coronary Artery Disease Algorithms Middle Aged Computed Tomography Angiography Retrospective Studies Severity of Illness Index Female Deep Learning
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Strengths and Opportunities of Network Medicine in Cardiovascular Diseases.

Circulation journal : official journal of the Japanese Circulation Society Dec 21, 2019
Network medicine can advance current medical practice by arising as response to the limitations of a reductionist approach focusing on cardiovascular (CV) diseases as a direct consequence of a single defect. This molecular-bioinformatic approach inte...
Animals Cardiovascular Diseases Predictive Value of Tests Medical Informatics Diagnostic Techniques, Cardiovascular Cardiology Delivery of Health Care, Integrated Systems Analysis Artificial Intelligence Precision Medicine Prognosis Clinical Decision-Making Risk Factors Humans
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Prediction of lower-grade glioma molecular subtypes using deep learning.

Journal of neuro-oncology Dec 21, 2019
INTRODUCTION: It is useful to know the molecular subtype of lower-grade gliomas (LGG) when deciding on a treatment strategy. This study aims to diagnose this preoperatively.
Humans Female Predictive Value of Tests Neoplasm Grading Neuroimaging Male Aged Middle Aged Young Adult Deep Learning Adult Glioma Brain Neoplasms Follow-Up Studies
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