AIMC Topic: Predictive Value of Tests

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Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes: A Proof-of-Concept Study.

Cerebrovascular diseases extra Mar 17, 2025
INTRODUCTION: Timely thrombolytic therapy improves outcomes in acute ischemic stroke. Manual chart review to screen for thrombolysis contraindications may be time-consuming and prone to errors. We developed and tested a large language model (LLM)-bas...
Fibrinolytic Agents Stroke Automation Proof of Concept Study Contraindications, Drug Treatment Outcome Predictive Value of Tests Natural Language Processing Ischemic Stroke Thrombolytic Therapy Humans Decision Support Techniques Electronic Health Records Reproducibility of Results
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A computed tomography angiography-based radiomics model for prognostic prediction of endovascular abdominal aortic repair.

International journal of cardiology Mar 14, 2025
OBJECTIVE: This study aims to develop a radiomics machine learning (ML) model that uses preoperative computed tomography angiography (CTA) data to predict the prognosis of endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA) patien...
Humans Machine Learning Prognosis Retrospective Studies Middle Aged Predictive Value of Tests Aortic Aneurysm, Abdominal Endovascular Procedures Computed Tomography Angiography Female Aged Aged, 80 and over Radiomics Male
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Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation study.

Renal failure Mar 13, 2025
BACKGROUND: Patients with chronic kidney disease (CKD) are considered the primary population at risk for post-contrast acute kidney injury (PC-AKI), yet there are few predictive tools specifically designed for this vulnerable population.
Humans Retrospective Studies Acute Kidney Injury Female Risk Factors Coronary Angiography Percutaneous Coronary Intervention Deep Learning ROC Curve Renal Insufficiency, Chronic Contrast Media Predictive Value of Tests Aged Male Middle Aged Risk Assessment
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Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 13, 2025
BACKGROUND: Stroke is a major cause of mortality and permanent disability worldwide. Precise prediction of post-stroke mortality is essential for guiding treatment decisions and rehabilitation planning. The ability of Machine learning models to proce...
Time Factors Predictive Value of Tests Stroke Humans Risk Factors Aged Male Middle Aged Risk Assessment Machine Learning Decision Support Techniques Prognosis Female Reproducibility of Results
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Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.

Journal of gastroenterology and hepatology Mar 13, 2025
BACKGROUND: Capsule endoscopy (CE) is a valuable tool used in the diagnosis of small intestinal lesions. The study aims to systematically review the literature and provide a meta-analysis of the diagnostic accuracy, specificity, sensitivity, and nega...
Predictive Value of Tests Capsule Endoscopy Intestine, Small Intestinal Diseases Artificial Intelligence Female Sensitivity and Specificity Male Middle Aged Humans
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Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Pulmonary Valve Insufficiency Predictive Value of Tests Ventricular Dysfunction, Right Image Interpretation, Computer-Assisted Ventricular Function, Right Reproducibility of Results Young Adult Adult Male Stroke Volume Echocardiography Severity of Illness Index Adolescent Chronic Disease Humans Machine Learning Prognosis Retrospective Studies Female
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Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods.

Tomography (Ann Arbor, Mich.) Mar 13, 2025
RATIONALE: Neoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast cancer (LABC). Predicting the response of NAC for patients with LABC before initiating treatment would be valuable to customize therapies and ensure t...
Treatment Outcome Neoadjuvant Therapy Predictive Value of Tests Chemotherapy, Adjuvant Aged Adult Breast Neoplasms Middle Aged Humans Machine Learning Tomography, X-Ray Computed Female
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Querying the capability of the post-HoLEP endoscopic aspect of the membranous urethral mucosa in predicting urinary incontinence: a prospective AI-based analysis.

World journal of urology Mar 12, 2025
INTRODUCTION: Transient stress urinary incontinence (SUI) after holmium laser enucleation of prostate (HoLEP) is commonly linked to intraoperative injury of the external urethral sphincter (EUS). We assessed the reliability of the post-HoLEP endoscop...
Prostatectomy Lasers, Solid-State Laser Therapy Urinary Incontinence, Stress Urethra Postoperative Complications Predictive Value of Tests Prostatic Hyperplasia Mucous Membrane Humans Artificial Intelligence Prospective Studies Aged Endoscopy Male Middle Aged
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Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.

Annals of vascular surgery Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Predictive Value of Tests Angioplasty Treatment Outcome Glomerular Filtration Rate Contrast Media Lower Extremity Peripheral Arterial Disease Aged Male Middle Aged Risk Assessment Humans Machine Learning Decision Support Techniques Retrospective Studies Acute Kidney Injury Female Reproducibility of Results Risk Factors
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Non-invasive derivation of instantaneous free-wave ratio from invasive coronary angiography using a new deep learning artificial intelligence model and comparison with human operators' performance.

The international journal of cardiovascular imaging Mar 10, 2025
Invasive coronary physiology is underused and carries risks/costs. Artificial Intelligence (AI) might enable non-invasive physiology from invasive coronary angiography (CAG), possibly outperforming humans, but has seldom been explored, especially for...
Male Middle Aged Deep Learning Clinical Competence Predictive Value of Tests Humans Retrospective Studies Female Reproducibility of Results Aged Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels
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