AIMC Topic: Risk Assessment
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Incidental Finding of Coronary and Non-Coronary Artery Calcium: What Do Clinicians Need To Know?
Current atherosclerosis reports
Jul 12, 2025
PURPOSE OF REVIEW: This review summarizes the role of incidentally and non-incidentally discovered coronary artery calcification (CAC) and the evolving role of non-coronary artery calcification in atherosclerotic cardiovascular disease (ASCVD) risk a...
Letter to the Editor: Robustness of osteoporosis risk prediction models with enhanced statistical analyses.
Computers in biology and medicine
Jul 11, 2025
In response to Oka et al.'s letter, we conducted additional statistical analyses to validate the robustness of our osteoporosis risk prediction model using NHANES 2007-2014 data (n = 7924). We evaluated 10 key predictors through Spearman's rho, Kenda...
GeoAI-based soil erosion risk assessment in the Brahmaputra River Basin: a synergistic approach using RUSLE and advanced machine learning.
Environmental monitoring and assessment
Jul 10, 2025
Soil erosion is a critical environmental issue in the Brahmaputra River Basin, threatening agricultural productivity, water resources, and ecological balance. This study employs the revised universal soil loss equation (RUSLE) alongside remote sensin...
Machine learning models predict risk of lower extremity deep vein thrombosis in hospitalized patients with spontaneous intracerebral hemorrhage.
Scientific reports
Jul 10, 2025
Lower extremity deep vein thrombosis is one of the important complications of spontaneous intracerebral hemorrhage. We aimed to develop a risk assessment model to predict the risk of lower extremity DVT during hospitalization in patients with spontan...
Machine learning-based prediction model for post-ERCP cholangitis in patients with malignant biliary obstruction: a retrospective multicenter study.
Surgical endoscopy
Jul 9, 2025
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred palliative treatment for patients with unresectable malignant biliary obstruction (MBO), which can relieve biliary obstruction and prolong survival. Post-ERCP cholangi...
An interpretable dynamic ensemble selection multiclass imbalance approach with ensemble imbalance learning for predicting road crash injury severity.
Scientific reports
Jul 9, 2025
Accurate prediction of crash injury severity and understanding the seriousness of multi-classification injuries is vital for informing authorities and the public. This Knowledge is crucial for enhancing road safety and reducing congestion, as differe...
The Role of Artificial Intelligence in Surgery: Predictive Analytics, Intraoperative Assistance, and Education.
Anesthesiology clinics
Jul 8, 2025
Artificial intelligence (Al) is transforming surgical care by enhancing risk prediction, preoperative planning, and surgical education. Unlike traditional statistical tools, Al-especially machine learning-can process complex, nonlinear clinical data ...
The Role of Artificial Intelligence in Preoperative Assessment, Surgical Risk Stratification, and Predictive Analytics in Anesthesiology and Critical Care.
Anesthesiology clinics
Jul 8, 2025
Anesthesiology and critical care medicine contain a vast repository of patient data that can be analyzed and decoded by artificial intelligence applications. Although there has been a rapid growth in the development of predictive analytics to improve...
Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.
BMC psychology
Jul 8, 2025
INTRODUCTION: The role of non-suicidal self-injury (NSSI) in the suicide process of people with major depressive disorder(MDD) remains controversial. Therefore, the purpose of this study was to investigate the role NSSI plays in suicide risk in peopl...
Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50.
Scientific reports
Jul 8, 2025
Accurate prediction of stroke risk at an early stage is essential for timely intervention and prevention, especially given the serious health consequences and economic burden that strokes can cause. In this study, we proposed a class-balanced and dat...
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