AIMC Topic: Predictive Value of Tests

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A Predictive Model Integrating AI Recognition Technology and Biomarkers for Lung Nodule Assessment.

The Thoracic and cardiovascular surgeon Nov 26, 2024
BACKGROUND:  Lung cancer is the most prevalent and lethal cancer globally, necessitating accurate differentiation between benign and malignant pulmonary nodules to guide treatment decisions. This study aims to develop a predictive model that integrat...
Predictive Value of Tests Artificial Intelligence Decision Support Techniques Retrospective Studies Tomography, X-Ray Computed Female Middle Aged Humans Reproducibility of Results Lung Neoplasms Risk Factors Multiple Pulmonary Nodules Aged Solitary Pulmonary Nodule Biomarkers, Tumor Neoplasm Invasiveness Male
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A CT-based deep learning for segmenting tumors and predicting microsatellite instability in patients with colorectal cancers: a multicenter cohort study.

La Radiologia medica Nov 26, 2024
PURPOSE: To develop and validate deep learning (DL) models using preoperative contrast-enhanced CT images for tumor auto-segmentation and microsatellite instability (MSI) prediction in colorectal cancer (CRC).
Contrast Media Predictive Value of Tests Microsatellite Instability Aged Colorectal Neoplasms Male Middle Aged Deep Learning Humans Retrospective Studies Tomography, X-Ray Computed Female
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Prognostic value of glycaemic variability for mortality in critically ill atrial fibrillation patients and mortality prediction model using machine learning.

Cardiovascular diabetology Nov 26, 2024
BACKGROUND: The burden of atrial fibrillation (AF) in the intensive care unit (ICU) remains heavy. Glycaemic control is important in the AF management. Glycaemic variability (GV), an emerging marker of glycaemic control, is associated with unfavourab...
Predictive Value of Tests Cause of Death Atrial Fibrillation Glycemic Control Reproducibility of Results Middle Aged Humans Risk Factors Prognosis Risk Assessment Aged Machine Learning Blood Glucose Retrospective Studies Aged, 80 and over Decision Support Techniques Time Factors Critical Illness Male Databases, Factual Hospital Mortality Intensive Care Units Biomarkers Female
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Machine-Learning-Based Predictive Model for Bothersome Stress Urinary Incontinence Among Parous Women in Southeastern China.

International urogynecology journal Nov 25, 2024
INTRODUCTION AND HYPOTHESIS: Accurate identification of female populations at high risk for urinary incontinence (UI) and early intervention are potentially effective initiatives to reduce the prevalence of UI. We aimed to apply machine-learning tech...
Risk Assessment China Surveys and Questionnaires ROC Curve Predictive Value of Tests Parity Urinary Incontinence, Stress Humans Risk Factors Machine Learning Adult Pregnancy Cross-Sectional Studies Female Middle Aged
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Artificial Intelligence in Diagnosing and Managing Vascular Surgery Patients: An Experimental Study Using the GPT-4 Model.

Annals of vascular surgery Nov 24, 2024
BACKGROUND: The introduction of artificial intelligence (AI) has led to groundbreaking advancements across many scientific fields. Machine learning algorithms have enabled AI models to learn, adapt, and solve complex problems in previously unimaginab...
Humans Artificial Intelligence Machine Learning Decision Support Techniques Clinical Decision-Making Predictive Value of Tests Natural Language Processing Vascular Surgical Procedures
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Predicting Short-Term Mortality after Endovascular Aortic Repair Using Machine Learning-Based Decision Tree Analysis.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Endovascular aneurysm repair (EVAR) has revolutionized the treatment of abdominal aortic aneurysms by offering a less invasive alternative to open surgery. Understanding the factors that influence patient outcomes, particularly for high-r...
Treatment Outcome Decision Trees Predictive Value of Tests Aortic Aneurysm, Abdominal Nutritional Status Blood Vessel Prosthesis Implantation Endovascular Procedures Endovascular Aneurysm Repair Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Clinical Decision-Making Female Reproducibility of Results Risk Factors Aged Humans Machine Learning Decision Support Techniques Retrospective Studies
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Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered ...
Aged Aged, 80 and over Male Middle Aged Risk Assessment Decision Support Techniques Retrospective Studies Female Reproducibility of Results Risk Factors Carotid Stenosis Neurologic Examination Endarterectomy, Carotid Case-Control Studies Intraoperative Neurophysiological Monitoring Treatment Outcome Predictive Value of Tests Wakefulness Humans Machine Learning
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The diagnostic value investigation of programmed cell death genes in heart failure.

BMC cardiovascular disorders Nov 22, 2024
BACKGROUND: We aimed to identify the potential diagnostic markers and associated molecular mechanisms based on programmed cell death (PCD)-related genes in patients with heart failure (HF).
Humans Machine Learning Genetic Markers Gene Regulatory Networks Reproducibility of Results Nomograms Heart Failure Gene Expression Profiling Databases, Genetic Plasminogen Activator Inhibitor 1 Transcriptome Apoptosis Gene Expression Regulation Case-Control Studies Predictive Value of Tests Apoptosis Regulatory Proteins Protein Interaction Maps
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Predicting the cognitive impairment with multimodal ophthalmic imaging and artificial neural network for community screening.

The British journal of ophthalmology Nov 22, 2024
BACKGROUND/AIMS: To investigate the comprehensive prediction ability for cognitive impairment in a general elder population using the combination of the multimodal ophthalmic imaging and artificial neural networks.
Humans Cognitive Dysfunction Mass Screening Multimodal Imaging Predictive Value of Tests Oximetry Neural Networks, Computer Female Aged Male Middle Aged
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Prediction of Survival After Pediatric Cardiac Arrest Using Quantitative EEG and Machine Learning Techniques.

Neurology Nov 20, 2024
BACKGROUND AND OBJECTIVES: Early neuroprognostication in children with reduced consciousness after cardiac arrest (CA) is a major clinical challenge. EEG is frequently used for neuroprognostication in adults, but has not been sufficiently validated f...
Child Predictive Value of Tests Electroencephalography Heart Arrest Infant, Newborn Male Infant Adolescent Humans Child, Preschool Machine Learning Prognosis Retrospective Studies Female
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