AIMC Topic: Predictive Value of Tests

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Comparison of CT and MRI images for the prediction of soft-tissue sarcoma grading and lung metastasis via a convolutional neural networks model.

Clinical radiology Sep 28, 2019
AIM: To realise the automated prediction of soft-tissue sarcoma (STS) grading and lung metastasis based on computed tomography (CT), T1-weighted (T1W) magnetic resonance imaging (MRI), and fat-suppressed T2-weighted MRI (FST2W) via the convolutional ...
Female Humans Predictive Value of Tests Male Neural Networks, Computer Neoplasm Grading Retrospective Studies Lung Neoplasms Tomography, X-Ray Computed Sarcoma Magnetic Resonance Imaging
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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.
Machine Learning Software Female Animals Cat Diseases 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...
Humans Software Clinical Decision-Making Coronary Artery Disease Prosthesis Design Patient Selection Stents Computer-Aided Design Deep Learning Predictive Value of Tests Percutaneous Coronary Intervention
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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...
Seizures False Positive Reactions Scalp Poisson Distribution Adult Humans Predictive Value of Tests Sensitivity and Specificity Color Neural Networks, Computer Male Adolescent Electroencephalography Algorithms Infant Child, Preschool Child Image Processing, Computer-Assisted
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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.
Aged Male Middle Aged Europe Predictive Value of Tests Coronary Angiography Coronary Artery Disease Heart Rate Databases, Factual Female Reproducibility of Results Risk Factors Humans Neural Networks, Computer Machine Learning Patient Safety Cardiac Catheterization Artifacts Observer Variation Arterial Pressure Aorta
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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 Hematologic Tests Predictive Value of Tests Neural Networks, Computer Parasitology Deep Learning Plasmodium falciparum Malaria Smartphone Image Interpretation, Computer-Assisted
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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...
Adult Male Middle Aged Risk Assessment Retrospective Studies Republic of Korea Registries Female Machine Learning Time Factors Risk Factors Coronary Artery Disease Humans Decision Support Techniques Vascular Calcification Health Status Databases, Factual Asymptomatic Diseases Prognosis Predictive Value of Tests Coronary Angiography
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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 Neural Networks, Computer Algorithms Retrospective Studies Risk Assessment Postoperative Complications Comorbidity Deep Learning Support Vector Machine Humans
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Real-time use of artificial intelligence in the evaluation of cancer in Barrett's oesophagus.

Gut Sep 20, 2019
Adenocarcinoma Predictive Value of Tests Esophageal Neoplasms Humans Barrett Esophagus Artificial Intelligence Endoscopy Diagnosis, Computer-Assisted
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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 Big Data Predictive Value of Tests Data Mining Humans Artificial Intelligence
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