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Domestic Violence

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

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Showing 2269-2289 of 4,120 articles
Broadening the Net: Overcoming Challenges and Embracing Novel Technologies in Lung Cancer Screening.

Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diag...

PRECISE framework: Enhanced radiology reporting with GPT for improved readability, reliability, and patient-centered care.

BACKGROUND: The PRECISE framework, defined as Patient-Focused Radiology Reports with Enhanced Clarit...

Automated engineered-stone silicosis screening and staging using Deep Learning with X-rays.

Silicosis, a debilitating occupational lung disease caused by inhaling crystalline silica, continues...

Review and reflections on live AI mammographic screen reading in a large UK NHS breast screening unit.

UNLABELLED: The Radiology team from a large Breast Screening Unit in the UK with a screening populat...

A novel deep neural network approach to detect and monitor cocaine drug abuse.

PURPOSE: Cocaine is one of the most commonly used drugs that may lead to physical and mental health ...

Boosting polyp screening with improved point-teacher weakly semi-supervised.

Polyps, like a silent time bomb in the gut, are always lurking and can explode into deadly colorecta...

Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis.

Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most wom...

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study.

BACKGROUND: Conventional approaches for major depressive disorder (MDD) screening rely on two effect...

Artificial Intelligence Tools for Preconception Cardiomyopathy Screening Among Women of Reproductive Age.

PURPOSE: Identifying cardiovascular disease before conception and in early pregnancy can better info...

Artificial intelligence and the impact of multiomics on the reporting of case reports.

The integration of artificial intelligence (AI) and multiomics has transformed clinical and life sci...

Cervical cancer screening uptake and its associated factor in Sub-Sharan Africa: a machine learning approach.

INTRODUCTION: Cervical cancer, which includes squamous cell carcinoma and adenocarcinoma, is a leadi...

Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors.

The fusion of traditional chemical descriptors with graph neural networks (GNNs) offers a compelling...

Integrating Machine Learning-Based Pose Sampling with Established Scoring Functions for Virtual Screening.

Physics-based docking methods have long been the cornerstone of structure-based virtual screening (V...

Screening of oral potentially malignant disorders and oral cancer using deep learning models.

Oral cancer though preventable, shows high mortality and affect the overall quality of life when det...

Evaluating an AI Chatbot "Prostate Cancer Info" for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study.

BACKGROUND: Generative artificial intelligence (AI) chatbots may be useful tools for supporting shar...

Machine learning-assisted literature screening for a medication-use process-related systematic review.

PURPOSE: This article summarizes a novel methodology of applying machine learning (ML) algorithms tr...

[Expert consensus on systematic assessment and treatment of refractory wounds in the elderly (2025 edition)].

Early prevention and standardized management of refractory wounds in the elderly are very important ...

Artificial intelligence in pediatric dental trauma: do artificial intelligence chatbots address parental concerns effectively?

BACKGROUND: This study focused on two Artificial Intelligence chatbots, ChatGPT 3.5 and Google Gemin...

Breast Arterial Calcifications on Mammography: A Review of the Literature.

Identifying systemic disease with medical imaging studies may improve population health outcomes. Al...

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