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Domestic Violence

Latest AI and machine learning research in domestic violence for healthcare professionals.

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Showing 1702-1722 of 3,671 articles
A Category-Fragment Segmentation Framework for Pelvic Fracture Segmentation in X-ray Images

Pelvic fractures, often caused by high-impact trauma, frequently require surgical intervention. Im...

Graph-Based Prediction Models for Data Debiasing

Bias in data collection, arising from both under-reporting and over-reporting, poses significant c...

[Advancements in machine learning applications in refractive surgery].

Refractive error is a significant factor contributing to visual impairment, imposing a relatively la...

Apr 2025 40189889
Building Proactive and Instant-Reactive Safety Designs to Address Harassment in Social Virtual Reality

Social Virtual Reality (VR) games offer immersive socialization experiences but pose significant c...

AiReview: An Open Platform for Accelerating Systematic Reviews with LLMs

Systematic reviews are fundamental to evidence-based medicine. Creating one is time-consuming and ...

Safe Screening Rules for Group OWL Models

Group Ordered Weighted $L_{1}$-Norm (Group OWL) regularized models have emerged as a useful proced...

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models

Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, i...

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening

Resume screening is a critical yet time-intensive process in talent acquisition, requiring recruit...

Implementation of A New, Mobile Diabetic Retinopathy Screening Model Incorporating Artificial Intelligence in Remote Western Australia.

OBJECTIVE: Diabetic retinopathy (DR) screening rates are poor in remote Western Australia where comm...

Apr 2025 40110918
Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0.

This document defines the key considerations for developing and reporting an artificial intelligence...

Apr 2025 40232134
Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning-based Stratification: A Multicenter Retrospective Study.

Background Standardized bone tumor reporting is crucial for consistent, risk-aligned patient managem...

Apr 2025 40261174
Accuracy of Large Language Model-based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports.

Background Ovarian-Adnexal Reporting and Data System (O-RADS) for MRI helps assign malignancy risk, ...

Apr 2025 40167432
Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support.

BACKGROUND: Matching the necessary resources and facilities to attend to the needs of trauma patient...

Mar 2025 40200724
Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT

Parkinson's disease (PD) is a prevalent neurodegenerative disorder globally. The eye's retina is a...

Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI

Road fatalities pose significant public safety and health challenges worldwide, with pedestrians b...

Preferential Multi-Objective Bayesian Optimization for Drug Discovery

Despite decades of advancements in automated ligand screening, large-scale drug discovery remains ...

AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism

This paper introduces AIJIM, the Artificial Intelligence Journalism Integration Model -- a novel f...

On Regulating Downstream AI Developers

Foundation models - models trained on broad data that can be adapted to a wide range of downstream...

$(\varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees

Current practices for reporting the level of differential privacy (DP) guarantees for machine lear...

MASQUE: A Text-Guided Diffusion-Based Framework for Localized and Customized Adversarial Makeup

As facial recognition is increasingly adopted for government and commercial services, its potentia...

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