Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.
BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical abuse, emotional maltreatment, neglect, and peer violence, poses a significant public health challenge among children, particularly in rural areas with high rates of children whose parents have migrated to cities for work, leaving them in rural areas (left-behind children). This study investigates ...
Multiparametric MRI (mpMRI) has become an essential tool in the detection of prostate cancer (PCa) and can help many men avoid unnecessary biopsies. However, interpreting prostate mpMRI remains subjective, labor-intensive, and more complex compared to traditional transrectal ultrasound. These challenges will likely grow as MRI is increasingly adopted for PCa screening and diagnosis. This developme...
This study aimed to develop and validate convolutional neural network (CNN) models for distinguishing follicular thyroid carcinoma (FTC) from follicul...
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respiratory diseases. We used an archive of COVID-19 dat...
Next mobile app prediction aims to recommend the apps that users will most likely to use next based on their historical usage behavior. It is critical...
Effective inpatient bed management is critical for optimizing healthcare resource utilization and ensuring high-quality patient care. The growing imba...
The number of prediction models proposed in the biomedical literature has been growing year on year. In the last few years there has been an increasin...
BACKGROUND: Montelukast(MTK) is a leukotriene receptor antagonist widely used clinically for treating asthma and rhinitis. However, many adverse event...
In recent years, global accessibility to large 'big data' repositories that enable 'open research' - such as the UK Biobank, National Health and Nutri...
Risk adjustment is a critical component of health care reimbursement aimed at ensuring fair compensation on the basis of the characteristics of patien...
As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued to evolve and reporting systems have been updated...
BACKGROUND: Atypical Parkinsonian Syndromes (APS) form the third largest group of neurodegenerative disorders including Progressive Supranuclear Palsy...
Recently, various self-supervised learning (SSL) methods based on 3D graph neural networks (GNNs) have been developed to comprehensively represent the...
Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing unique challenges including escalating imaging volumes...
A growing number of studies have compared human and AI creative performance. These studies differ in AI chatbots, human populations, creativity tasks,...
The responsible reporting of suicide in media is crucial for public health, as irresponsible coverage can potentially promote suicidal behaviors. This...
BACKGROUND: Large language models (LLMs) can support health care professionals in their daily work, for example, when writing and filing reports or co...
The past 25 years have seen the explosion of digital health care-from 1s and 0s initially serving most researchers for accomplishing their work, to th...
Several residency programs have begun investigating artificial intelligence (AI) methods to facilitate application screening processes. However, no u...
In the context of Evidence-Based Practice (EBP), Systematic Reviews (SRs), Meta-Analyses (MAs) and overview of reviews have become cornerstones for th...