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Domestic Violence

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

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Showing 2290-2310 of 4,120 articles
Facilitating Screening of MOFs for Mixed Matrix Membranes Using Machine Learning and the Maxwell Model.

Metal organic framework (MOF)-based mixed-matrix membranes (MMMs), which embed MOF particles in poly...

Achieving SDoH Resource Equity in PICU Using an AI-Enabled Patient Navigator.

Trauma care coordination in the pediatric intensive care unit (PICU), including personalization of r...

Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.

Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive pr...

Detecting Adverse Drug Events in Clinical Notes Using Large Language Models.

Monitoring adverse drug events (ADEs) is critical for pharmacovigilance and patient safety. However,...

What to Report? A Systematic Review of Medical AI Reporting Guidelines: Preliminary Results.

We present preliminary results of a systematic review of reporting guidelines for nine papers from c...

Formative Usability Testing of Artificial Intelligence in Pathology: The Challenge of Assessing Acceptability.

Digital Pathology has provided a platform to use Artificial Intelligence (AI) to assist pathologists...

Challenges in Implementing Artificial Intelligence in Breast Cancer Screening Programs: Systematic Review and Framework for Safe Adoption.

BACKGROUND: Artificial intelligence (AI) studies show promise in enhancing accuracy and efficiency i...

Machine-Learning-Guided Screening of Advantageous Solvents for Solid Polymer Electrolytes in Lithium Metal Batteries.

Trace residual solvents in solid polymer electrolytes (SPEs) significantly affect electrolyte and in...

High-throughput Screening of the Mechanical Properties of Peptide Assemblies.

Peptides are recognized for their varied self-assembly behaviors, forming a wide array of structures...

Machine Learning-Based Modeling for Predicting Hypopituitarism After Cranial Trauma.

OBJECTIVE: Traumatic brain injury (TBI) remains a leading cause of disability and death globally, an...

Development of 3D Intelligent Quantitative Phase Microscope for Sickle Cells Screening.

Sickle cell disease (SCD) is a genetic blood disorder causing red blood cells to deform into a sickl...

Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement.

OBJECTIVES: Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of...

Cost-effectiveness of opportunistic osteoporosis screening using chest radiographs with deep learning in Germany.

BACKGROUND: Osteoporosis is often underdiagnosed due to limitations in traditional screening methods...

Machine-Learning Assisted Screening with FIND FH for Familial Hypercholesterolemia among Youth.

Although the American Academy of Pediatrics recommends universal lipid screening among children to f...

High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.

Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy lo...

[Surveillance for pneumonia of unknown etiology: current status, challenges, and implementation ways].

The prevention and control of emerging and reemerging infectious diseases are crucial for national b...

Preferences for the Use of Artificial Intelligence for Breast Cancer Screening in Australia: A Discrete Choice Experiment.

BACKGROUND: Breast cancer screening is considered an effective early detection strategy. Artificial ...

Improved Breast Cancer Detection with Artificial Intelligence in a Real-World Digital Breast Tomosynthesis Screening Program.

OBJECTIVE: The purpose of this study is to compare radiologists' breast cancer screening performance...

Data-driven consideration of genetic disorders for global genomic newborn screening programs.

PURPOSE: Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range ...

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