Latest AI and machine learning research in domestic violence for healthcare professionals.
Artificial intelligence (AI) models with medical images as input data are increasingly proposed to s...
Perinatal depression affects up to 30% of pregnant and postpartum women, which has increased since t...
Hypertension is a silent killer, with over half of affected adults unaware of their condition1,2. Th...
Severe cutaneous adverse reactions (SCARs), including Stevens-Johnson syndrome/toxic epidermal necro...
This study aimed to systematically review and critically evaluate the risk of bias and applicability...
BACKGROUND: Biliary atresia (BA) is a rare condition that meets the criteria for neonatal screening....
Intimate Partner Violence (IPV) is a major public health problem to be addressed with innovative and...
Prostate cancer is the second most common cancer among men worldwide. This cancer has become extrem...
Purpose To evaluate the performance of the winning machine learning models from the 2023 RSNA Abdomi...
The proliferation of Generative Artificial Intelligence (Generative AI) has led to an increased reli...
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial pr...
Political bias is an inescapable characteristic in news and media reporting, and understanding what ...
Depression is a global health concern with a critical need for increased patient screening. Speech...
When it comes to classifying child sexual abuse images, managing similar inter-class correlations ...
Talking face generation (TFG) allows for producing lifelike talking videos of any character using ...
The generation of high-quality medical time series data is essential for advancing healthcare diag...
Systematic reviews (SRs) are essential for evidence-based guidelines but are often limited by the ...
The reproducibility of computational pipelines is an expectation in biomedical science, particular...
Score-based Generative Models (SGMs) have demonstrated remarkable generalization abilities, e.g. g...
We propose a pipeline for gaining insights into complex diseases by training LLMs on challenging s...
Predictive machine learning (ML) models are computational innovations that can enhance medical dec...