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Domestic Violence

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

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Showing 1-21 of 4,084 articles
Dense breasts and women's health: which screenings are essential?

This review synthesizes current evidence regarding optimal breast cancer screening strategies for wo...

Screening, identification, and experimental validation of SUMOylation biomarkers in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) is a common neurodegenerative disorder. The role of protein pos...

Exposotypes in psychotic disorders.

Psychiatry lags in adopting etiological approaches to diagnosis, prognosis, and outcome prediction c...

High-throughput screening accelerated by machine learning for the morphology of silica nanoparticles with high cell permeability.

In recent years, silica nanoparticles have garnered tremendous attention as drug-delivery carriers. ...

Explainable illicit drug abuse prediction using hematological differences.

This study aimed to develop a reliable and explainable predictive model for illicit drug use (IDU). ...

JustRAIGS: Justified Referral in AI Glaucoma Screening Challenge.

A major contributor to permanent vision loss is glaucoma. Early diagnosis is crucial for preventing ...

Pharmacovigilance: Overview of Italian and European regulations, tools, and perspectives.

BackgroundThis study provides a concise overview of the Italian and European pharmacovigilance (PV) ...

Machine-Learning-Assisted Density Functional Theory Calculations: A New Approach to Screening Thermal Runaway Gas Sensors for Lithium-Ion Batteries.

Lithium-ion batteries face safety risks, such as spontaneous combustion and explosion, during long-t...

Access to Breast Cancer Screening: Disparities and Determinants- Expert Panel Narrative Review.

Although breast cancer screening reduces mortality, disparities in access continue to limit equitabl...

A novel approach to smart-assisted schizophrenia screening based on Raman spectroscopy and deep learning.

In this study, serum Raman spectra are introduced into the screening of schizophrenia. We collect se...

Toward Stable Zinc Anode: An AI-Assisted High-Throughput Screening of Electrolyte Additives for Aqueous Zinc-Ion Battery.

Currently, challenges such as zinc dendrites, hydrogen evolution reactions, and byproduct formation ...

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders.

BACKGROUND: Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for t...

Retrospective evaluation of interval breast cancer screening mammograms by radiologists and AI.

OBJECTIVES: To determine whether an AI system can identify breast cancer risk in interval breast can...

Generating targeted and tailored health communication narratives with AI.

Customized narratives are effective tools to promote risk prevention behaviors in populations. Howev...

Screening of Material Defects using Universal Machine-Learning Interatomic Potentials.

Finding new materials with previously unknown atomic structure or materials with optimal set of prop...

AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening.

Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and th...

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