AIMC Topic: Female

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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...
Machine Learning Databases, Factual Retrospective Studies Female Aged Humans Predictive Value of Tests Anesthesia, General Sex Factors Quality Improvement Rotator Cuff Injuries Adult Male Middle Aged United States Operative Time Arthroscopy Black or African American White Rotator Cuff
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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.
Predictive Learning Models Aged Aged, 80 and over Adult Decision Trees Artificial Intelligence Male Risk Assessment Early Diagnosis Machine Learning Middle Aged Cross Infection Severity of Illness Index Retrospective Studies Humans Western Australia Length of Stay Intensive Care Units Logistic Models Iatrogenic Disease Female Operative Time
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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 Humans Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Canada
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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 Risk Factors Pregnancy, Twin Adult Cross-Sectional Studies Prenatal Care Incidence
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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...
Continuous Glucose Monitoring Middle Aged Blood Glucose Diabetes Mellitus, Type 1 Diabetes Mellitus Blood Glucose Self-Monitoring Humans Artificial Intelligence Female Male
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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...
Cardiac-Gated Imaging Techniques Male Middle Aged Deep Learning Electrocardiography Predictive Value of Tests Coronary Angiography Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Humans Coronary Artery Disease Female Neural Networks, Computer Vascular Calcification Reproducibility of Results Computed Tomography Angiography Aged
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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...
Female Adult Male Middle Aged Deep Learning Blood Glucose Insulin Diabetes Mellitus, Type 2 Diabetes Mellitus, Type 1 Hypoglycemic Agents Humans Neural Networks, Computer Hypoglycemia Blood Glucose Self-Monitoring Continuous Glucose Monitoring
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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...
Preoperative Period Serum Albumin Predictive Learning Models Aspartate Aminotransferases Bilirubin Hepatectomy Liver Function Tests Liver Failure Humans Databases, Factual Postoperative Complications Female ROC Curve Aged Predictive Value of Tests Male Area Under Curve Middle Aged Platelet Count Risk Assessment
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Hey ChatGPT, Let's Talk About Sexual Consent.

Journal of sex research May 1, 2025
Access to sexual health education, such as education on sexual consent, is limited in the US. Artificial intelligence (AI), such as ChatGPT, provides a potential opportunity to increase access to sexual consent information and education. However, wha...
Generative Artificial Intelligence Sexual Behavior Sex Education Humans Female Artificial Intelligence Young Adult Adult Male Adolescent
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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 Adult Signal Processing, Computer-Assisted Speech Production Measurement Male Humans Acoustics Voice Quality Middle Aged Machine Learning Sound Spectrography Dysphonia Case-Control Studies Female Speech Acoustics Predictive Value of Tests Reproducibility of Results Young Adult
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