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Domestic Violence

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

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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...

Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning.

Diabetes mellitus is a complex metabolic disorder and one of the fastest-growing global public healt...

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...

[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...

Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.

Background Combined mammography and MRI screening is not universally accessible for women with inter...

Evaluating the Impact of Changes in Artificial Intelligence-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes.

Purpose To evaluate the change in digital breast tomosynthesis artificial intelligence (DBT-AI) case...

A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues.

Microinfarcts and microhemorrhages are characteristic lesions of cerebrovascular disease. Although m...

A psychologically interpretable artificial intelligence framework for the screening of loneliness, depression, and anxiety.

Negative emotions such as loneliness, depression, and anxiety (LDA) are prevalent and pose significa...

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...

ASSESSMENT OF ARTIFICIAL INTELLIGENCE SOFTWARE FOR AUTOMATIC SCREENING OF DIABETIC RETINOPATHY BASED ON FUNDUS PHOTOGRAPHS IN MELANODERM SUBJECTS.

PURPOSE: To assess the Gaiha Prio Retino +â„¢ Artificial Intelligence (AI) software for detecting diab...

Potential Impact of an Artificial Intelligence-based Mammography Triage Algorithm on Performance and Workload in a Population-based Screening Sample.

OBJECTIVE: To evaluate potential screening mammography performance and workload impact using a comme...

COX-2 Inhibitor Prediction With KNIME: A Codeless Automated Machine Learning-Based Virtual Screening Workflow.

Cyclooxygenase-2 (COX-2) is an enzyme that plays a crucial role in inflammation by converting arachi...

Intimate partner violence and stress-related disorders: from epigenomics to resilience.

Intimate Partner Violence (IPV) is a major public health problem to be addressed with innovative and...

Machine learning-enabled screening for aortic stenosis with handheld ultrasound.

AIMS: Neural network classifiers can detect aortic stenosis (AS) using limited cardiac ultrasound im...

European strategies in the screening of biliary atresia: a scoping review.

BACKGROUND: Biliary atresia (BA) is a rare condition that meets the criteria for neonatal screening....

Providing a Prostate Cancer Detection and Prevention Method With Developed Deep Learning Approach.

Prostate cancer is the second most common cancer among men worldwide. This cancer has become extrem...

Cytopathological quantification of NORs using artificial intelligence to oral cancer screening.

Oral squamous cell carcinoma (OSCC) remains the most prevalent neoplasm of the head and neck. In rec...

Automatic large-scale political bias detection of news outlets.

Political bias is an inescapable characteristic in news and media reporting, and understanding what ...

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