AIMC Topic: Predictive Value of Tests

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Machine-learning approaches for risk prediction in transcatheter aortic valve implantation: Systematic review and meta-analysis.

The Journal of thoracic and cardiovascular surgery May 1, 2025
OBJECTIVES: With the expanding integration of artificial intelligence (AI) and machine learning (ML) into the structural heart domain, numerous ML models have emerged for the prediction of adverse outcomes after transcatheter aortic valve implantatio...
Transcatheter Aortic Valve Replacement Humans Machine Learning Risk Factors Risk Assessment Postoperative Complications Treatment Outcome Aortic Valve Stenosis Predictive Value of Tests
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Prediction of hypertension and diabetes in twin pregnancy using machine learning model based on characteristics at first prenatal visit: national registry study.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology May 1, 2025
OBJECTIVE: To develop a prediction model for hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM) in twin pregnancy using characteristics obtained at the first prenatal visit.
Humans Machine Learning Pregnancy Female United States Predictive Value of Tests Registries Diabetes, Gestational Hypertension, Pregnancy-Induced Pregnancy, Twin Risk Factors Adult Cross-Sectional Studies Prenatal Care Incidence
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Fully Automated Agatston Score Calculation From Electrocardiography-Gated Cardiac Computed Tomography Using Deep Learning and Multi-Organ Segmentation: A Validation Study.

Angiology May 1, 2025
To evaluate deep learning-based calcium segmentation and quantification on ECG-gated cardiac CT scans compared with manual evaluation. Automated calcium quantification was performed using a neural network based on mask regions with convolutional neur...
Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Reproducibility of Results Electrocardiography Aged Predictive Value of Tests Male Coronary Angiography Middle Aged Radiographic Image Interpretation, Computer-Assisted Deep Learning Coronary Artery Disease Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female
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An APRI+ALBI-Based Multivariable Model as a Preoperative Predictor for Posthepatectomy Liver Failure.

Annals of surgery May 1, 2025
OBJECTIVE AND BACKGROUND: Clinically significant posthepatectomy liver failure (PHLF B+C) remains the main cause of mortality after major hepatic resection. This study aimed to establish an aspartate aminotransferase to platelet ratio combined with a...
Humans Databases, Factual Female Hepatectomy Predictive Learning Models ROC Curve Aged Liver Function Tests Predictive Value of Tests Liver Failure Male Area Under Curve Preoperative Period Platelet Count Middle Aged Serum Albumin Aspartate Aminotransferases Risk Assessment Bilirubin Postoperative Complications
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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 May 1, 2025
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...
Bayes Theorem Signal Processing, Computer-Assisted Acoustics Sound Spectrography Speech Acoustics Speech Production Measurement Voice Quality Dysphonia Adult Male Middle Aged Case-Control Studies Predictive Value of Tests Humans Machine Learning Female Reproducibility of Results Young Adult
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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 May 1, 2025
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; ...
Speech Acoustics Male Signal Processing, Computer-Assisted Humans Severity of Illness Index Acoustics Voice Disorders Deep Learning Neural Networks, Computer Observer Variation Speech Production Measurement Time Factors Female Automation Voice Quality Predictive Value of Tests Judgment Reproducibility of Results Adult
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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 May 1, 2025
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...
Male Middle Aged Vocal Cords Case-Control Studies Humans Signal Processing, Computer-Assisted Female Support Vector Machine Voice Disorders Databases, Factual Acoustics Reproducibility of Results Predictive Value of Tests Speech Production Measurement Aged Sound Spectrography Phonation Young Adult Speech Acoustics Voice Quality Adult Vocal Cord Paralysis Dysphonia
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Do positive psychosocial factors contribute to the prediction of coronary artery disease? A UK Biobank-based machine learning approach.

European journal of preventive cardiology Apr 22, 2025
AIMS: Most prediction models for coronary artery disease (CAD) compile biomedical and behavioural risk factors using linear multivariate models. This study explores the potential of integrating positive psychosocial factors (PPFs), including happines...
Humans Machine Learning Prognosis Female United Kingdom Social Support Happiness Risk Factors Predictive Value of Tests UK Biobank Aged Personal Satisfaction Male Coronary Artery Disease Middle Aged Biological Specimen Banks Risk Assessment
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Machine Learning-Based Prediction of Large-for-Gestational-Age Infants in Mothers With Gestational Diabetes Mellitus.

The Journal of clinical endocrinology and metabolism Apr 22, 2025
CONTEXT: Large-for-gestational-age (LGA), one of the most common complications of gestational diabetes mellitus (GDM), has become a global concern. The predictive performance of common continuous glucose monitoring (CGM) metrics for LGA is limited.
Fetal Macrosomia Humans Infant, Large for Gestational Age Machine Learning Predictive Value of Tests Prospective Studies Birth Weight Pregnancy Blood Glucose Self-Monitoring Female Diabetes, Gestational Infant, Newborn Gestational Age Adult Blood Glucose
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Utilizing Artificial Intelligence for Predicting Postoperative Complications in Breast Reduction Surgery: A Comprehensive Retrospective Analysis of Predictive Features and Outcomes.

Aesthetic surgery journal Apr 16, 2025
BACKGROUND: Breast reduction is a common procedure with growing rates in the United States of America, aimed at alleviating the physical and psychological burdens of macromastia. Despite high success rates, it carries a risk of complications, with in...
Female Young Adult Adult Middle Aged Risk Assessment Humans Artificial Intelligence Machine Learning Retrospective Studies Hypertrophy Mammaplasty Postoperative Complications ROC Curve Decision Trees Predictive Value of Tests Breast
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