AIMC Topic: Predictive Value of Tests

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Optimizing prediction of metastasis among colorectal cancer patients using machine learning technology.

BMC gastroenterology Apr 18, 2025
BACKGROUND AND AIM: Colorectal cancer is among the most prevalent and deadliest cancers. Early prediction of metastasis in patients with colorectal cancer is crucial in preventing it from the advanced stages and enhancing the prognosis among these pa...
Male Neoplasm Metastasis Retrospective Studies Middle Aged Female Humans Predictive Value of Tests Aged Neural Networks, Computer Iran Adult Machine Learning Colorectal Neoplasms Prognosis
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Framingham Risk Score Prediction at 12 Months in the STANDFIRM Randomized Control Trial.

Journal of the American Heart Association Apr 16, 2025
BACKGROUND: The STANDFIRM (Shared Team Approach Between Nurses and Doctors for Improved Risk Factor Management; ANZCTR registration ACTRN12608000166370) trial was designed to test the effectiveness of chronic disease care management for modifying the...
Risk Assessment Time Factors Predictive Value of Tests Stroke Ischemic Attack, Transient Female Risk Factors Aged Male Middle Aged Humans Machine Learning
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Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0-3 and the development of a machine learning prediction model: a nationwide prospective cohort study.

Cardiovascular diabetology Apr 16, 2025
BACKGROUND: The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting the increasing importance of the complex interplay between metabolic, renal, and cardiovascular diseases (CVD)....
Aged Male Cardiovascular Diseases Middle Aged Risk Assessment Biomarkers Prognosis Female Humans Risk Factors Machine Learning Insulin Resistance Decision Support Techniques China Longitudinal Studies Blood Glucose Prospective Studies Metabolic Syndrome Incidence Kidney Diseases Time Factors Predictive Value of Tests
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Development and validation of multi-center serum creatinine-based models for noninvasive prediction of kidney fibrosis in chronic kidney disease.

Renal failure Apr 15, 2025
OBJECTIVE: Kidney fibrosis is a key pathological feature in the progression of chronic kidney disease (CKD), traditionally diagnosed through invasive kidney biopsy. This study aimed to develop and validate a noninvasive, multi-center predictive model...
Disease Progression Severity of Illness Index China Kidney Nomograms Renal Insufficiency, Chronic Glomerular Filtration Rate Female Predictive Value of Tests Fibrosis Creatinine Aged Humans Adult Machine Learning Male Biomarkers Middle Aged Retrospective Studies
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Chronic Total Occlusion Percutaneous Coronary Intervention: Present and Future.

Circulation. Cardiovascular interventions Apr 14, 2025
Chronic total occlusion percutaneous coronary intervention has evolved into a subspecialty of interventional cardiology. Using a variety of antegrade and retrograde techniques, experienced operators currently achieve success rates of 85% to 90%, with...
Diffusion of Innovation Coronary Occlusion Chronic Disease Predictive Value of Tests Coronary Angiography Percutaneous Coronary Intervention Humans Forecasting Risk Factors Treatment Outcome
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Predicting prolonged length of in-hospital stay in patients with non-ST elevation myocardial infarction (NSTEMI) using artificial intelligence.

International journal of cardiology Apr 11, 2025
BACKGROUND: Patients presenting with non-ST elevation myocardial infarction (NSTEMI) are typically evaluated using coronary angiography and managed through coronary revascularization. Numerous studies have demonstrated the benefits of expedited disch...
Length of Stay Cohort Studies Non-ST Elevated Myocardial Infarction Predictive Value of Tests Percutaneous Coronary Intervention Retrospective Studies Humans Female Artificial Intelligence Aged Machine Learning Male Middle Aged
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Prevalence of low-flow state by automated machine-learning 3D echocardiography in patients with moderate-to-severe aortic stenosis and normal ejection-fraction.

The international journal of cardiovascular imaging Apr 10, 2025
BACKGROUND: In aortic valve stenosis (AS), measurement of stroke volume index (SVi) by the 2D Doppler- technique is required to calculate the aortic valve area (AVA) and determine flow status but is prone to systematic errors.
Humans Machine Learning Female Stroke Volume Prevalence Severity of Illness Index Hemodynamics Aortic Valve Stenosis Reproducibility of Results Aged Aged, 80 and over Male Ventricular Function, Left Echocardiography, Doppler Blood Flow Velocity Echocardiography, Three-Dimensional Aortic Valve Predictive Value of Tests Image Interpretation, Computer-Assisted Automation
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Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review.

Journal of the American Heart Association Apr 10, 2025
Nonspecific symptoms and other diagnostic challenges lead to underdiagnosis of cardiac amyloidosis (CA). Artificial intelligence (AI) could help address these challenges, but a summary of the performance of these tools is lacking. This narrative revi...
Humans Amyloidosis Artificial Intelligence Cardiomyopathies Echocardiography Electrocardiography Predictive Value of Tests
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Habitat Radiomics Based on MRI for Predicting Metachronous Liver Metastasis in Locally Advanced Rectal Cancer: a Two‑center Study.

Academic radiology Apr 9, 2025
RATIONALE AND OBJECTIVES: This study aimed to explore the feasibility of using habitat radiomics based on magnetic resonance imaging (MRI) to predict metachronous liver metastasis (MLM) in locally advanced rectal cancer (LARC) patients. A nomogram wa...
Magnetic Resonance Imaging Predictive Value of Tests Rectal Neoplasms Neoplasms, Second Primary Retrospective Studies Female Aged Adult Radiomics Male Middle Aged Liver Neoplasms Nomograms Humans Machine Learning
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Application of an interpretable machine learning method to predict the risk of death during hospitalization in patients with acute myocardial infarction combined with diabetes mellitus.

Acta cardiologica Apr 8, 2025
BACKGROUND: Predicting the prognosis of patients with acute myocardial infarction (AMI) combined with diabetes mellitus (DM) is crucial due to high in-hospital mortality rates. This study aims to develop and validate a mortality risk prediction model...
Humans Machine Learning Prognosis Retrospective Studies Female Risk Assessment Hospital Mortality Diabetes Mellitus Predictive Value of Tests Risk Factors Myocardial Infarction Hospitalization Aged Male Middle Aged
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