AIMC Topic: 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 United States Predictive Value of Tests Registries Diabetes, Gestational Hypertension, Pregnancy-Induced Pregnancy, Twin Female 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...
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Middle Aged Humans Deep Learning Neural Networks, Computer Electrocardiography Retrospective Studies Predictive Value of Tests Tomography, X-Ray Computed Coronary Angiography Female Reproducibility of Results Aged Male
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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 Preoperative Period Aged Serum Albumin Male Predictive Learning Models Platelet Count Middle Aged Risk Assessment Aspartate Aminotransferases Postoperative Complications Bilirubin ROC Curve Hepatectomy Predictive Value of Tests Liver Function Tests Area Under Curve Liver Failure
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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...
Sound Spectrography Speech Acoustics Speech Production Measurement Voice Quality Dysphonia Middle Aged Case-Control Studies Predictive Value of Tests Bayes Theorem Signal Processing, Computer-Assisted Acoustics Female Reproducibility of Results Humans Young Adult Machine Learning Adult Male
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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; ...
Acoustics Male Humans Observer Variation Neural Networks, Computer Severity of Illness Index Automation Deep Learning Female Judgment Voice Disorders Time Factors Reproducibility of Results Speech Acoustics Speech Production Measurement Predictive Value of Tests Adult Voice Quality Signal Processing, Computer-Assisted
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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...
Middle Aged Case-Control Studies Support Vector Machine Predictive Value of Tests Signal Processing, Computer-Assisted Speech Production Measurement Acoustics Sound Spectrography Phonation Humans Reproducibility of Results Speech Acoustics Voice Quality Aged Databases, Factual Vocal Cord Paralysis Dysphonia Young Adult Female Vocal Cords Adult Voice Disorders Male
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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 Biological Specimen Banks United Kingdom Happiness Middle Aged UK Biobank Risk Assessment Social Support Predictive Value of Tests Prognosis Personal Satisfaction Female Coronary Artery Disease Risk Factors Aged Male
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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.
Gestational Age Fetal Macrosomia Infant, Large for Gestational Age Humans Machine Learning Blood Glucose Prospective Studies Predictive Value of Tests Pregnancy Birth Weight Female Blood Glucose Self-Monitoring Infant, Newborn Diabetes, Gestational Adult
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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...
Artificial Intelligence Machine Learning Retrospective Studies Female Young Adult Adult Humans Predictive Value of Tests Breast Hypertrophy Mammaplasty Middle Aged Risk Assessment Postoperative Complications ROC Curve Decision Trees
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Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology.

World journal of gastroenterology Apr 7, 2025
BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with hepatitis B because of the risk of life-threatening hemorrhage. Endoscopy is the gold standard for EGV detection but it is invasive, costly and carries ...
Hepatitis B Predictive Value of Tests Esophageal and Gastric Varices Gastrointestinal Hemorrhage Machine Learning Biomarkers Prognosis Retrospective Studies Clinical Decision-Making Female Adult Male Middle Aged Risk Assessment Ultrasonography Humans
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