AIMC Topic: Female

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Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 6, 2025
OBJECTIVES: To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART), a machine learning (ML) model to predict the risk of the direct ward to the ICU transfer within 12 hours, and the associated improved outcomes among...
Machine Learning Female Infant, Newborn Male Risk Assessment Infant Respiration, Artificial Humans Adolescent Child, Preschool Hospital Mortality Child Early Warning Score Intensive Care Units, Pediatric Triage Patient Transfer
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Transfer Learning Prediction of Early Exposures and Genetic Risk Score on Adult Obesity in Two Minority Cohorts.

Prevention science : the official journal of the Society for Prevention Research Feb 6, 2025
Due to ethnic heterogeneity in genetic architecture, genetic risk score (GRS) constructed within the European population generally possesses poor portability in underrepresented non-European populations, but substantial genetic similarity exists acro...
Obesity Minority Groups United Kingdom Genetic Risk Score Cohort Studies Genetic Predisposition to Disease Body Mass Index Humans Machine Learning Female Risk Factors Adult Male Middle Aged
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The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses.

Frontiers in public health Feb 6, 2025
INTRODUCTION: Speech impediments (SIs) are increasingly prevalent among middle-aged and older adults, raising concerns within public health. Early detection of potential SI in this demographic is critical. This study investigates the potential of Act...
Aged Aged, 80 and over Male China Humans Middle Aged Longitudinal Studies Activities of Daily Living Machine Learning Female
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Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients.

PloS one Feb 6, 2025
BACKGROUND: A second primary malignant tumor is one of the most important factors affecting the long-term survival of young women with breast cancer (YWBC). As one of the main treatments for breast cancer YWBC patients, postoperative radiotherapy (PO...
Middle Aged Humans Incidence Young Adult Machine Learning Neoplasms, Second Primary SEER Program Female Adult Radiotherapy, Adjuvant Risk Factors Breast Neoplasms
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Why do people resist AI-based autonomous cars?: Analyzing the impact of the risk perception paradigm and conditional value on public acceptance of autonomous vehicles.

PloS one Feb 6, 2025
This study examines the factors that lead to the acceptance of AI-based autonomous vehicles. Despite the considerable importance of AI-based autonomous vehicles there has been a lack of analysis based on theoretical models and analysis that considers...
Automobiles Automobile Driving Perception Middle Aged Aged Surveys and Questionnaires Young Adult Humans Adolescent Adult Artificial Intelligence Male Female
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Developing a three-dimensional convolutional neural network for automated full-volume multi-tissue segmentation of the shoulder with comparisons to Goutallier classification and partial volume muscle quality analysis.

Journal of shoulder and elbow surgery Feb 5, 2025
BACKGROUND: Preoperative intramuscular fat (IMF) is a strong predictor of tendon failure after a rotator cuff repair. Due to the contemporary labor intensive and time-dependent manual segmentation required for quantitative assessment of IMF, clinical...
Retrospective Studies Female Reproducibility of Results Aged Magnetic Resonance Imaging Humans Adipose Tissue Neural Networks, Computer Rotator Cuff Injuries Rotator Cuff Male Middle Aged Convolutional Neural Networks Imaging, Three-Dimensional
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PlaqueViT: a vision transformer model for fully automatic vessel and plaque segmentation in coronary computed tomography angiography.

European radiology Feb 5, 2025
OBJECTIVES: To develop and evaluate a deep learning model for segmentation of the coronary artery vessels and coronary plaques in coronary computed tomography angiography (CCTA).
Female Reproducibility of Results Aged Sensitivity and Specificity Humans Plaque, Atherosclerotic Computed Tomography Angiography Male Middle Aged Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels
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Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis.

European radiology Feb 5, 2025
OBJECTIVES: The aim of this work is to evaluate the performance of deep learning (DL) models for breast cancer diagnosis with MRI.
Image Interpretation, Computer-Assisted Humans Female Sensitivity and Specificity Breast Neoplasms Deep Learning Magnetic Resonance Imaging
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Class-aware multi-level attention learning for semi-supervised breast cancer diagnosis under imbalanced label distribution.

Medical & biological engineering & computing Feb 5, 2025
Breast cancer affects a significant number of patients worldwide, and early diagnosis is critical for improving cure rates and prognosis. Deep learning-based breast cancer classification algorithms have substantially alleviated the burden on medical ...
Humans Algorithms Female Breast Neoplasms Deep Learning Supervised Machine Learning
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Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study.

European journal of nuclear medicine and molecular imaging Feb 5, 2025
INTRODUCTION: Providing tools for comprehensively evaluating scintigraphy images could enhance transthyretin amyloid cardiomyopathy (ATTR-CM) diagnosis. This study aims to automatically detect and score ATTR-CM in total body scintigraphy images using...
Amyloid Neuropathies, Familial Image Processing, Computer-Assisted Radionuclide Imaging Cardiomyopathies Humans Artificial Intelligence Female Aged Male Middle Aged Deep Learning
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