AI Medical Compendium Topic:
Predictive Value of Tests

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Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population.

The international journal of cardiovascular imaging Jan 17, 2023
This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensional (2D) cine incorporating deep learning reconstruction (DLR) for the quantification of biventricular volumes and function compared with those of th...
Humans Middle Aged Deep Learning Predictive Value of Tests Magnetic Resonance Imaging, Cine Ventricular Function Reproducibility of Results Aged Adult Male Stroke Volume
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Prediction of Coronary Artery Calcium Using Deep Learning of Echocardiograms.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography Dec 23, 2022
BACKGROUND: Coronary artery calcification (CAC), often assessed by computed tomography (CT), is a powerful marker of coronary artery disease that can guide preventive therapies. Computed tomographies, however, are not always accessible or serially ob...
Risk Factors Echocardiography Deep Learning Predictive Value of Tests Coronary Angiography Humans Artificial Intelligence Coronary Artery Disease Calcium Coronary Vessels Vascular Calcification
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Different Performances of Machine Learning Models to Classify Dysphonic and Non-Dysphonic Voices.

Journal of voice : official journal of the Voice Foundation Dec 10, 2022
OBJECTIVE: To analyze the performance of 10 different machine learning (ML) classifiers for discrimination between dysphonic and non-dysphonic voices, using a variance threshold as a method for the selection and reduction of acoustic measurements use...
Machine Learning Female Reproducibility of Results Young Adult Adult Humans Speech Production Measurement Voice Quality Dysphonia Bayes Theorem Signal Processing, Computer-Assisted Male Acoustics Middle Aged Sound Spectrography Case-Control Studies Speech Acoustics Predictive Value of Tests
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A Machine Learning Model for Prediction of Amputation in Diabetics.

Journal of diabetes science and technology Dec 8, 2022
BACKGROUND: Diabetic foot ulcer (DFU) and the resulting lower extremity amputation are associated with a poor survival prognosis. The objective of this study is to generate a model for predicting the probability of major amputation in hospitalized pa...
Decision Trees Predictive Value of Tests Diabetic Foot Amputation, Surgical Humans Risk Factors Machine Learning Aged Algorithms Male Databases, Factual Middle Aged Prognosis Female
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Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Nov 28, 2022
BACKGROUND: Segmentation of cardiovascular magnetic resonance (CMR) images is an essential step for evaluating dimensional and functional ventricular parameters as ejection fraction (EF) but may be limited by artifacts, which represent the major chal...
Magnetic Resonance Imaging Humans Artificial Intelligence Predictive Value of Tests Retrospective Studies Attention Artifacts
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Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data.

Journal of voice : official journal of the Voice Foundation Nov 25, 2022
OBJECTIVES: Auditory-perceptual evaluation frameworks, such as the grade-roughness-breathiness-asthenia-strain (GRBAS) scale, are the gold standard for the quantitative evaluation of pathological voice quality. However, the evaluation is subjective; ...
Judgment Speech Acoustics Voice Disorders Speech Production Measurement Voice Quality Predictive Value of Tests Signal Processing, Computer-Assisted Humans Acoustics Neural Networks, Computer Observer Variation Female Automation Male Reproducibility of Results Severity of Illness Index Adult Deep Learning Time Factors
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Detection of Neurogenic Voice Disorders Using the Fisher Vector Representation of Cepstral Features.

Journal of voice : official journal of the Voice Foundation Nov 21, 2022
Neurogenic voice disorders (NVDs) are caused by damage or malfunction of the central or peripheral nervous system that controls vocal fold movement. In this paper, we investigate the potential of the Fisher vector (FV) encoding in automatic detection...
Humans Databases, Factual Female Reproducibility of Results Acoustics Aged Middle Aged Sound Spectrography Case-Control Studies Young Adult Speech Acoustics Support Vector Machine Adult Vocal Cord Paralysis Predictive Value of Tests Male Voice Disorders Vocal Cords Signal Processing, Computer-Assisted Speech Production Measurement Phonation Voice Quality Dysphonia
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Next Frontier for Artificial Intelligence in Imaging: Moving Beyond Risk Prediction Toward Effective Implementation.

JACC. Cardiovascular imaging Nov 16, 2022
Deep Learning Predictive Value of Tests Humans Artificial Intelligence Machine Learning
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Recognition of the Effect of Vocal Exercises by Fuzzy Triangular Naive Bayes, a Machine Learning Classifier: A Preliminary Analysis.

Journal of voice : official journal of the Voice Foundation Nov 11, 2022
OBJECTIVES: Machine learning (ML) methods allow the development of expert systems for pattern recognition and predictive analysis of intervention outcomes. It has been used in Voice Sciences, mainly to discriminate between healthy and dysphonic voice...
Dysphonia Voice Training Fuzzy Logic Predictive Value of Tests Bayes Theorem Signal Processing, Computer-Assisted Acoustics Young Adult Speech Perception Humans Adult Speech Acoustics Machine Learning Middle Aged Speech Production Measurement Female Case-Control Studies Voice Quality Reproducibility of Results Treatment Outcome
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Pathological Voice Detection Based on Phase Reconstitution and Convolutional Neural Network.

Journal of voice : official journal of the Voice Foundation Oct 21, 2022
The nonlinear dynamic features can effectively describe the acoustic characteristics of normal and pathological voice. In this paper, the phase space reconstruction and convolution neural network are used to classify the normal and pathological voice...
Voice Quality Predictive Value of Tests Humans Reproducibility of Results Signal Processing, Computer-Assisted Nonlinear Dynamics Male Neural Networks, Computer Acoustics Speech Acoustics Case-Control Studies Databases, Factual Sound Spectrography Vocal Cord Paralysis Convolutional Neural Networks Female Voice Disorders Time Factors Speech Production Measurement
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