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Domestic Violence

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

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Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models

Although diffusion-based techniques have shown remarkable success in image generation and editing ...

Prevalence and Impacts of Image-Based Sexual Abuse Victimization: A Multinational Study

Image-based sexual abuse (IBSA) refers to the nonconsensual creating, taking, or sharing of intima...

Interactive Segmentation and Report Generation for CT Images

Automated CT report generation plays a crucial role in improving diagnostic accuracy and clinical ...

Increase Docking Score Screening Power by Simple Fusion With CNNscore.

Scoring functions (SFs) of molecular docking is a vital component of structure-based virtual screeni...

Mar 2025 39981784
Toward Scalable Access to Neurodevelopmental Screening: Insights, Implementation, and Challenges

Children with neurodevelopmental disorders require timely intervention to improve long-term outcom...

Victim-Centred Abuse Investigations and Defenses for Social Media Platforms

Online abuse, a persistent aspect of social platform interactions, impacts user well-being and exp...

Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules.

Purpose To evaluate the performance of eight lung cancer prediction models on patient cohorts with s...

Mar 2025 39907586
Value of Using a Generative AI Model in Chest Radiography Reporting: A Reader Study.

Background Multimodal generative artificial intelligence (AI) technologies can produce preliminary r...

Mar 2025 40067108
A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Recent advancements in AI and medical imaging offer transformative potential in emergency head CT ...

Differentially Private Iterative Screening Rules for Linear Regression

Linear $L_1$-regularized models have remained one of the simplest and most effective tools in data...

Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline

Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carci...

HRR: Hierarchical Retrospection Refinement for Generated Image Detection

Generative artificial intelligence holds significant potential for abuse, and generative image det...

Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse

Detecting phishing, spam, fake accounts, data scraping, and other malicious activity in online soc...

Investigating the Security & Privacy Risks from Unsanctioned Technology Use by Educators

Educational technologies are revolutionizing how educational institutions operate. Consequently, i...

[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

Feb 2025 39939021
A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior

Image watermarks have been considered a promising technique to help detect AI-generated content, w...

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation

Cervical cancer is a leading malignancy in female reproductive system. While AI-assisted cytology ...

From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms

When an individual reports a negative interaction with some system, how can their personal experie...

DenseReviewer: A Screening Prioritisation Tool for Systematic Review based on Dense Retrieval

Screening is a time-consuming and labour-intensive yet required task for medical systematic review...

The Skin Game: Revolutionizing Standards for AI Dermatology Model Comparison

Deep Learning approaches in dermatological image classification have shown promising results, yet ...

Ovarian-adnexal reporting and data system MRI scoring: diagnostic accuracy, interobserver agreement, and applicability to machine learning.

OBJECTIVES: To evaluate the interobserver agreement and diagnostic accuracy of ovarian-adnexal repor...

Feb 2025 39471474
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