AIMC Topic: Predictive Value of Tests

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Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.

Journal of veterinary internal medicine Sep 26, 2019
BACKGROUND: Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine.
Cat Diseases Machine Learning Software Female Animals Male Renal Insufficiency, Chronic Predictive Value of Tests Cats
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Deep Learning in Personalization of Cardiovascular Stents.

Journal of cardiovascular pharmacology and therapeutics Sep 25, 2019
Deep learning (DL) application has demonstrated its enormous potential in accomplishing biomedical tasks, such as vessel segmentation, brain visualization, and speech recognition. This review article has mainly covered recent advances in the principl...
Computer-Aided Design Deep Learning Predictive Value of Tests Percutaneous Coronary Intervention Humans Software Clinical Decision-Making Coronary Artery Disease Prosthesis Design Patient Selection Stents
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Seizure Prediction in Scalp EEG Using 3D Convolutional Neural Networks With an Image-Based Approach.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 25, 2019
Epileptic seizures occur as a result of a process that develops over time and space in epileptic networks. In this study, we aim at developing a generalizable method for patient-specific seizure prediction by evaluating the spatio-temporal correlatio...
Humans Neural Networks, Computer Electroencephalography Algorithms Adult Seizures Sensitivity and Specificity Image Processing, Computer-Assisted False Positive Reactions Male Poisson Distribution Scalp Infant Predictive Value of Tests Color Adolescent Child, Preschool Child
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Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety.

JACC. Cardiovascular interventions Sep 25, 2019
OBJECTIVES: This study developed a neural network to perform automated pressure waveform analysis and allow real-time accurate identification of damping.
Aorta Cardiac Catheterization Risk Factors Humans Aged Heart Rate Patient Safety Neural Networks, Computer Male Artifacts Databases, Factual Machine Learning Middle Aged Observer Variation Female Arterial Pressure Reproducibility of Results Europe Predictive Value of Tests Coronary Angiography Coronary Artery Disease
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Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears.

IEEE journal of biomedical and health informatics Sep 23, 2019
OBJECTIVE: This work investigates the possibility of automated malaria parasite detection in thick blood smears with smartphones.
Humans Neural Networks, Computer Deep Learning Smartphone Hematologic Tests Predictive Value of Tests Plasmodium falciparum Malaria Image Interpretation, Computer-Assisted Parasitology
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Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches.

Journal of cardiovascular computed tomography Sep 23, 2019
BACKGROUND: Machine learning (ML) is a computer algorithm used to identify patterns for prediction in various tasks, and ML methods have been beneficial for developing prediction models when applied to heterogeneous and large datasets. We aim to exam...
Risk Factors Adult Coronary Angiography Male Asymptomatic Diseases Risk Assessment Middle Aged Registries Prognosis Time Factors Humans Coronary Artery Disease Retrospective Studies Health Status Vascular Calcification Machine Learning Republic of Korea Predictive Value of Tests Decision Support Techniques Female Databases, Factual
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Deep-learning model for predicting 30-day postoperative mortality.

British journal of anaesthesia Sep 23, 2019
BACKGROUND: Postoperative mortality occurs in 1-2% of patients undergoing major inpatient surgery. The currently available prediction tools using summaries of intraoperative data are limited by their inability to reflect shifting risk associated with...
Predictive Value of Tests Surgical Procedures, Operative Postoperative Period Missouri Postoperative Complications Comorbidity Deep Learning Support Vector Machine Algorithms Retrospective Studies Risk Assessment Humans Neural Networks, Computer
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Real-time use of artificial intelligence in the evaluation of cancer in Barrett's oesophagus.

Gut Sep 20, 2019
Diagnosis, Computer-Assisted Humans Predictive Value of Tests Adenocarcinoma Artificial Intelligence Esophageal Neoplasms Endoscopy Barrett Esophagus
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Echocardiographic Data in Artificial Intelligence Research: Primer on Concepts of Big Data and Latent States.

JACC. Cardiovascular imaging Sep 18, 2019
Echocardiography Humans Big Data Artificial Intelligence Predictive Value of Tests Data Mining
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Deep Learning for Automated Classification of Inferior Vena Cava Filter Types on Radiographs.

Journal of vascular and interventional radiology : JVIR Sep 18, 2019
PURPOSE: To demonstrate the feasibility and evaluate the performance of a deep-learning convolutional neural network (CNN) classification model for automated identification of different types of inferior vena cava (IVC) filters on radiographs.
Automation Vena Cava, Inferior Phlebography Prosthesis Implantation Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Registries Prosthesis Design Humans Vena Cava Filters Prospective Studies Reproducibility of Results Deep Learning
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