AIMC Topic: Risk Assessment
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Predicting survival factor following suicide attempt in Iran: an ensemble machine learning technique.
BMC psychiatry
Aug 28, 2025
BACKGROUND: Suicide represents a significant challenge to public health that calls for a suitable intervention from the healthcare sector. Despite the typically low suicide rate among most Muslim nations, research indicates that there is an increase ...
Fire risk to structures in California's Wildland-Urban Interface.
Nature communications
Aug 28, 2025
The destructive impacts of wildfires on people, property and the environment have dramatically increased, especially in the Wildland-Urban Interface (WUI) in California. In these areas structures are threatened by both approaching flames and lofted e...
A data-intensive framework for evaluating ecological and human health impacts of soil potentially toxic elements (PTEs) in the mining-endemic region of Singida, Tanzania.
Environmental geochemistry and health
Aug 28, 2025
Uncontrolled soil contamination by potentially toxic elements (PTEs) poses serious threats to environmental and public health in mining-intensive regions. Against this background, this study assessed the distribution, sources, ecological impact, and ...
A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study.
JMIR medical informatics
Aug 28, 2025
BACKGROUND: Untreated dental caries is the most common health condition worldwide. Therefore, new strategies need to be developed to reduce the manifestations of dental caries.
A Social Disruptiveness-Based Approach to AI Governance: Complementing the Risk-Based Approach of the AI Act.
Science and engineering ethics
Aug 27, 2025
The AI Act advances a risk-based approach to the legal regulation of AI systems in the European Union. While we support this development, we argue that adequate AI governance requires paying attention to the broader implications of AI systems on the ...
Predicting prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure from longitudinal ultrasound images using a multi-task deep learning approach.
Annals of medicine
Aug 26, 2025
BACKGROUND: Individualized risk stratification in hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) remains challenging. This study aimed to develop and validate a multi-task deep learning model using longitudinal liver ultrasound i...
Adverse cardiovascular events in coronary Plaques not undeRgoing pErcutaneous coronary intervention evaluateD with optIcal Coherence Tomography. The PREDICT-AI risk model.
Open heart
Aug 26, 2025
INTRODUCTION: Most acute coronary syndromes (ACS) originate from coronary plaques that are angiographically mild and not flow limiting. These lesions, often characterised by thin-cap fibroatheroma, large lipid cores and macrophage infiltration, are t...
Coronary Artery Disease
Acute Coronary Syndrome
Risk Factors
Plaque, Atherosclerotic
Coronary Vessels
Male
Humans
Multicenter Studies as Topic
Risk Assessment
Prospective Studies
Follow-Up Studies
Predictive Value of Tests
Prognosis
Tomography, Optical Coherence
Female
Percutaneous Coronary Intervention
Machine-learning approach to atrial fibrillation prediction among individuals without prior cardiovascular diseases.
Open heart
Aug 22, 2025
BACKGROUND: There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior cardiovascular diseases (CVDs) to facilitate early intervention. This study aimed to develop and validate an AF prediction model using ma...
Advancing fall risk prediction in older adults with cognitive frailty: A machine learning approach using 2-year clinical data.
PloS one
Aug 21, 2025
Falls are a critical concern in older adults with cognitive frailty (CF). However, previous studies have not fully examined whether machine learning models can predict falls in older individuals with CF. The 2-year longitudinal data set from the Kore...
Entropy-based risk network identification in adolescent self-injurious behavior using machine learning and network analysis.
Translational psychiatry
Aug 20, 2025
Adolescent Self-Injurious Behavior (SIB) is a significant global public health issue, with a lifetime prevalence rate of approximately 13.7%. As awareness of SIB rises, there is an urgent need for effective prediction mechanisms to enable early ident...
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