AIMC Topic: Middle Aged

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Concomitant Procedures, Black Race, Male Sex, and General Anesthesia Show Fair Predictive Value for Prolonged Rotator Cuff Repair Operative Time: Analysis of the National Quality Improvement Program Database Using Machine Learning.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association May 1, 2025
PURPOSE: To develop machine learning models using the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) database to predict prolonged operative time (POT) for rotator cuff repair (RCR), as well as use the trained machine l...
Humans Machine Learning Male Middle Aged United States Operative Time Predictive Value of Tests Anesthesia, General Databases, Factual Retrospective Studies Female Aged Adult White Sex Factors Rotator Cuff Quality Improvement Rotator Cuff Injuries Arthroscopy Black or African American
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

Health information management : journal of the Health Information Management Association of Australia May 1, 2025
BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.
Iatrogenic Disease Predictive Learning Models Operative Time Decision Trees Early Diagnosis Cross Infection Western Australia Intensive Care Units Humans Female Artificial Intelligence Male Aged Machine Learning Middle Aged Aged, 80 and over Retrospective Studies Risk Assessment Severity of Illness Index Adult Length of Stay Logistic Models
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Evaluation of a BERT Natural Language Processing Model for Automating CT and MRI Triage and Protocol Selection.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes May 1, 2025
To evaluate the accuracy of a Bidirectional Encoder Representations for Transformers (BERT) Natural Language Processing (NLP) model for automating triage and protocol selection of cross-sectional image requisitions. A retrospective study was comple...
Support Vector Machine Magnetic Resonance Imaging Triage Natural Language Processing Aged Adult Male Middle Aged Canada Humans Retrospective Studies Tomography, X-Ray Computed Female
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The Development and Potential Applications of an Automated Method for Detecting and Classifying Continuous Glucose Monitoring Patterns.

Journal of diabetes science and technology May 1, 2025
INTRODUCTION: Continuous glucose monitoring (CGM) is emerging as a transformative tool for helping people with diabetes self-manage their glucose and supporting clinicians in effective treatment. Unfortunately, many CGM users, and clinicians, find in...
Male Middle Aged Blood Glucose Diabetes Mellitus, Type 1 Diabetes Mellitus Blood Glucose Self-Monitoring Continuous Glucose Monitoring Humans Artificial Intelligence Female
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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...
Computed Tomography Angiography Cardiac-Gated Imaging Techniques Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Coronary Artery Disease Neural Networks, Computer Vascular Calcification Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Male Middle Aged Deep Learning Electrocardiography
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Prediction of Hypoglycemia From Continuous Glucose Monitoring in Insulin-Treated Patients With Type 2 Diabetes Using Transfer Learning on Type 1 Diabetes Data: A Deep Transfer Learning Approach.

Journal of diabetes science and technology May 1, 2025
BACKGROUND: Hypoglycemia is common in insulin-treated type 2 diabetes (T2D) patients, which can lead to decreased quality of life or premature death. Deep learning models offer promise of accurate predictions, but data scarcity poses a challenge. Thi...
Humans Neural Networks, Computer Female Adult Diabetes Mellitus, Type 2 Diabetes Mellitus, Type 1 Hypoglycemic Agents Hypoglycemia Male Blood Glucose Self-Monitoring Middle Aged Continuous Glucose Monitoring Deep Learning Blood Glucose Insulin
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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...
Bilirubin Hepatectomy Liver Function Tests Liver Failure Preoperative Period Humans Serum Albumin Databases, Factual Predictive Learning Models Postoperative Complications ROC Curve Female Predictive Value of Tests Aged Area Under Curve Male Platelet Count Middle Aged Aspartate Aminotransferases Risk Assessment
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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...
Reproducibility of Results Young Adult Adult Male Middle Aged Case-Control Studies Speech Acoustics Humans Speech Production Measurement Predictive Value of Tests Machine Learning Voice Quality Female Bayes Theorem Dysphonia Signal Processing, Computer-Assisted Acoustics Sound Spectrography
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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...
Support Vector Machine Voice Quality Young Adult Predictive Value of Tests Speech Acoustics Adult Humans Signal Processing, Computer-Assisted Vocal Cord Paralysis Dysphonia Male Vocal Cords Databases, Factual Acoustics Voice Disorders Middle Aged Female Sound Spectrography Speech Production Measurement Reproducibility of Results Case-Control Studies Phonation Aged
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Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.

European heart journal. Cardiovascular Imaging Apr 30, 2025
AIMS: Understanding determinants of thoracic aortic morphology is crucial for precise diagnostics and therapeutic approaches. This study aimed to automatically characterize ascending aortic morphology based on 3D non-contrast-enhanced magnetic resona...
Humans Female Aged Adult Imaging, Three-Dimensional Cross-Sectional Studies Age Factors Sex Factors Male Germany Middle Aged Aorta, Thoracic Deep Learning Magnetic Resonance Angiography Cohort Studies
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