AIMC Topic: Female

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Machine learning-based predictive models for perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery.

Computer methods and programs in biomedicine Dec 13, 2024
BACKGROUND AND OBJECTIVE: Accurate prediction of perioperative major adverse cardiovascular events (MACEs) is crucial, as it not only aids clinicians in comprehensively assessing patients' surgical risks and tailoring personalized surgical and periop...
Humans Risk Factors Surgical Procedures, Operative Risk Assessment Aged ROC Curve Machine Learning Male Bayes Theorem Female Middle Aged Coronary Artery Disease
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Diagnosis of Fibrotic Interstitial Lung Diseases Based on the Combination of Label-Free Quantitative Multiphoton Fiber Histology and Machine Learning.

Laboratory investigation; a journal of technical methods and pathology Dec 13, 2024
Interstitial lung disease (ILD), characterized by inflammation and fibrosis, often suffers from low diagnostic accuracy and consistency. Traditional hematoxylin and eosin (H&E) staining primarily reveals cellular inflammation with limited detail on f...
Middle Aged Humans Lung Microscopy, Fluorescence, Multiphoton Lung Diseases, Interstitial Machine Learning Female Elastin Collagen Algorithms Aged Adult Male
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A Machine Learning Approach for Predicting In-Hospital Cardiac Arrest Using Single-Day Vital Signs, Laboratory Test Results, and International Classification of Disease-10 Block for Diagnosis.

Annals of laboratory medicine Dec 13, 2024
BACKGROUND: Predicting in-hospital cardiac arrest (IHCA) is crucial for potentially reducing mortality and improving patient outcomes. However, most models, which rely solely on vital signs, may not comprehensively capture the patients' risk profiles...
Humans Machine Learning Retrospective Studies Intensive Care Units Adult International Classification of Diseases Female Male Vital Signs Hospitalization Middle Aged Heart Arrest Aged ROC Curve Aged, 80 and over
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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

Journal of vascular surgery Dec 13, 2024
OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAAs) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI).
Aged, 80 and over Male Middle Aged Risk Assessment Humans Female Artificial Intelligence Reproducibility of Results Decision Support Techniques Risk Factors Prognosis Aged Case-Control Studies Aortic Aneurysm, Abdominal Retrospective Studies Decision Trees Computed Tomography Angiography Denmark Aortography Predictive Value of Tests Aortic Rupture
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Incorporating patient-specific prior clinical knowledge to improve clinical target volume auto-segmentation generalisability for online adaptive radiotherapy of rectal cancer: A multicenter validation.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 13, 2024
BACKGROUND & PURPOSE: Deep learning (DL) based auto-segmentation has shown to be beneficial for online adaptive radiotherapy (OART). However, auto-segmentation of clinical target volumes (CTV) is complex, as clinical interpretations are crucial in th...
Rectal Neoplasms Radiotherapy Planning, Computer-Assisted Female Male Deep Learning Humans Magnetic Resonance Imaging
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DCA-Enhanced Alzheimer's detection with shearlet and deep learning integration.

Computers in biology and medicine Dec 13, 2024
Alzheimer's dementia (AD) is a neurodegenerative disorder that affects the central nervous system, causing the cells to stop working or die. The quality of life for individuals with AD steadily declines over time. While current treatments can relieve...
Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Humans Neural Networks, Computer Female Aged Aged, 80 and over Male
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Attention and dilated convolutions inclusive deep-CNN with multiplexed texture features to diagnose Pathological and High Myopia.

Computers in biology and medicine Dec 13, 2024
In today's era, precise and timely diagnosis of ocular diseases are crucial as these disorders jeopardize millions of visions. Early detection and proactive management can minimize vision threatening complications from these disorders. High Myopia(HM...
Neural Networks, Computer Female Male Myopia Deep Learning Fundus Oculi Myopia, Degenerative Humans
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Deep learning-assistance significantly increases the detection sensitivity of neurosurgery residents for intracranial aneurysms in subarachnoid hemorrhage.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Dec 13, 2024
OBJECTIVE: The purpose of this study was to evaluate the effectiveness of a deep learning model (DLM) in improving the sensitivity of neurosurgery residents to detect intracranial aneurysms on CT angiography (CTA) in patients with aneurysmal subarach...
Male Middle Aged Deep Learning Subarachnoid Hemorrhage Female Aged Adult Sensitivity and Specificity Neurosurgery Computed Tomography Angiography Internship and Residency Intracranial Aneurysm Humans
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Exploratory study of extracellular matrix biomarkers for non-invasive liver fibrosis staging: A machine learning approach with XGBoost and explainable AI.

Clinical biochemistry Dec 13, 2024
BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) are in high demand. Although underutilized, extracellular matrix (ECM) components offer significant diagnostic potential. This study evaluates ECM-relat...
Biomarkers Female Aged Male Adult Humans Extracellular Matrix Middle Aged Boosting Machine Learning Algorithms Machine Learning Liver Cirrhosis Hyaluronic Acid
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A web-based tool for cancer risk prediction for middle-aged and elderly adults using machine learning algorithms and self-reported questions.

Annals of epidemiology Dec 13, 2024
BACKGROUND: From a global perspective, China is one of the countries with higher incidence and mortality rates for cancer.
Algorithms Female Aged Humans Male Longitudinal Studies Machine Learning Middle Aged Internet Risk Assessment Self Report Neoplasms China
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