AIMC Topic: Retrospective Studies

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Artificial intelligence estimates the impact of human papillomavirus types in influencing the risk of cervical dysplasia recurrence: progress toward a more personalized approach.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) Mar 1, 2019
The objective of this study was to determine whether the pretreatment human papillomavirus (HPV) genotype might predict the risk of cervical dysplasia persistence/recurrence. Retrospective analysis of prospectively collected data of consecutive 5104 ...
Humans Artificial Intelligence Prospective Studies DNA, Viral Follow-Up Studies Cervix Uteri Neoplasm Recurrence, Local Uterine Cervical Dysplasia Papillomaviridae Adult Uterine Cervical Neoplasms Case-Control Studies Papillomavirus Infections Prognosis Retrospective Studies Female Risk Factors
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Angiography-Based Machine Learning for Predicting Fractional Flow Reserve in Intermediate Coronary Artery Lesions.

Journal of the American Heart Association Feb 19, 2019
Background An angiography-based supervised machine learning ( ML ) algorithm was developed to classify lesions as having fractional flow reserve ≤0.80 versus >0.80. Methods and Results With a 4:1 ratio, 1501 patients with 1501 intermediate lesions we...
Humans Machine Learning Algorithms Coronary Vessels Coronary Stenosis Fractional Flow Reserve, Myocardial Severity of Illness Index ROC Curve Imaging, Three-Dimensional Coronary Angiography Retrospective Studies Female Male Middle Aged
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CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network.

Korean journal of radiology Feb 1, 2019
OBJECTIVE: The aim of our study was to develop and validate a convolutional neural network (CNN) architecture to convert CT images reconstructed with one kernel to images with different reconstruction kernels without using a sinogram.
Pulmonary Emphysema Multidetector Computed Tomography Aged Male Middle Aged Image Processing, Computer-Assisted Humans Algorithms Retrospective Studies Female Neural Networks, Computer Machine Learning
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Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.

Journal of digital imaging Feb 1, 2019
The aim of this study is to develop a fully automated convolutional neural network (CNN) method for quantification of breast MRI fibroglandular tissue (FGT) and background parenchymal enhancement (BPE). An institutional review board-approved retrospe...
Retrospective Studies Female Breast Neoplasms Imaging, Three-Dimensional Magnetic Resonance Imaging Breast Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature.

The Turkish journal of pediatrics Jan 1, 2019
Karakurt N, Uslu İ, Aygün C, Albayrak C. Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature. Turk J Pediatr 2019; 61: 664-670. Neonates with Down syndrome (DS) may have hematological a...
Child Risk Factors Down Syndrome Humans Logistic Models Male Infant Retrospective Studies Follow-Up Studies Hematologic Diseases Child, Preschool Blood Cell Count Female Infant, Newborn
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Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Brain tumor is the leading cause of death worldwide. It is obvious that the chances of survival can be increased if the tumor is identified and properly classified at an initial stage. MRI (Magnetic Resonance Imaging) is one source of bra...
Brain Neoplasms Magnetic Resonance Imaging Algorithms Decision Trees Humans Databases, Factual Bayes Theorem Machine Learning Retrospective Studies Sensitivity and Specificity
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Impact of Knowledge-Based Iterative Model Reconstruction on Image Quality and Hemodynamic Parameters in Dynamic Myocardial Computed Tomography Perfusion Using Low-Tube-Voltage Scan: A Feasibility Study.

Journal of computer assisted tomography Jan 1, 2019
OBJECTIVE: Knowledge-based iterative model reconstruction (IMR) yields diagnostically acceptable image quality in low-dose static computed tomography (CT). We aimed to evaluate the feasibility of IMR in dynamic myocardial computed tomography perfusio...
Middle Aged Hemodynamics Contrast Media Coronary Angiography Retrospective Studies Female Aged Male Humans Algorithms Computed Tomography Angiography Cardiac-Gated Imaging Techniques Iopamidol Radiographic Image Interpretation, Computer-Assisted Exercise Test Coronary Artery Disease Feasibility Studies Knowledge Bases Multidetector Computed Tomography
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Improvement of motor performance in children with cerebral palsy treated with exoskeleton robotic training: A retrospective explorative analysis.

Restorative neurology and neuroscience Jan 1, 2019
BACKGROUND: Robot-assisted gait training (RAGT) is widely used in children with cerebral palsy (CP), but information about optimal intervention frequency and duration is still lacking and the current evidence about effect of RAGT on motor endurance a...
Self-Help Devices Gait Disorders, Neurologic Neurological Rehabilitation Outcome Assessment, Health Care Psychomotor Performance Adolescent Physical Endurance Child, Preschool Cerebral Palsy Child Humans Robotics Retrospective Studies Female Male
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Echocardiography Population Study in Russian Federation for 4P Medicine Using Machine Learning.

Studies in health technology and informatics Jan 1, 2019
This article describes the study results of echocardiographic (ECHO) test data for 4P medicine applied to cardiovascular patients. Data from more than 145,000 echocardiographic tests were analyzed. One of the objectives of the study is the possibilit...
Machine Learning Medicine Retrospective Studies Echocardiography Russia Humans
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Computer-Assisted Wound Assessment and Care Education Program in Registered Nurses: Use of an Interactive Online Program by 418 Registered Nurses.

Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses Society Jan 1, 2019
PURPOSE: The purpose of this descriptive study was to evaluate use of a previously validated, online, interactive wound assessment and wound care clinical pathway in a group of RNs. Specific aims were to (a) evaluate the proportions of correct, parti...
Adult Male Middle Aged Risk Assessment Machine Learning Algorithms Retrospective Studies Female Software Design Physical Examination Surveys and Questionnaires Nurses Wound Healing Internet Humans
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