Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: There are a multitude of application possibilities of artificial intelligence (AI) and structured reporting (SR) in radiology. The number of scientific publications have continuously increased for many years. There is an extensive portfolio of available AI algorithms for, e.g. automatic detection and preselection of pathologic patterns in images or for facilitating the reporting workfl...
BACKGROUND: Automated language analysis of radiology reports using natural language processing (NLP) can provide valuable information on patients' health and disease. With its rapid development, NLP studies should have transparent methodology to allow comparison of approaches and reproducibility. This systematic review aims to summarise the characteristics and reporting quality of studies applying...
The exponential increase in the volume and complexity of healthcare data presents new challenges to researchers and clinicians in analysis and interpr...
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their e...
Saudi Arabia plays an important strategic role within the Middle East and afar because of its geographical location, and being the host of one of the ...
BACKGROUND: Many social media studies have explored the ability of thematic structures, such as hashtags and subreddits, to identify information relat...
Pelvic organ prolapse affects 30-50% of the female population. For definitive treatment surgery is unavoidable. Sacrocolpopexy has been the gold stand...
Background The ability of deep learning (DL) models to classify women as at risk for either screening mammography-detected or interval cancer (not det...
In radiology, natural language processing (NLP) allows the extraction of valuable information from radiology reports. It can be used for various downs...
Cognitive performance deteriorates with drinking. However, the neural basis of cognitive deficits in alcohol use disorder (AUD) is still incompletely ...
Early identification of patients at risk of malnutrition or who are malnourished is crucial in order to start a timely and adequate nutritional therap...
Machine learning (ML) holds great promise in transforming healthcare. While published studies have shown the utility of ML models in interpreting medi...
Recent attempts to utilize machine learning (ML) to predict pain-related outcomes from Electroencephalogram (EEG) data demonstrate promising results. ...
The infection of an avian malaria parasite (Plasmodium gallinaceum) in domestic chickens presents a major threat to the poultry industry because it ca...
Although artificial intelligence models have demonstrated high accuracy in identifying specific orthopedic implant models from imaging, which is an im...
The emerging ultra-wide field of view (UWF) fundus color imaging is a powerful tool for fundus screening. However, manual screening is labor-intensive...
The association between physical appearance and income has been of central interest in social science. However, most previous studies often measured p...
Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health problem. The emergence and/or worsening of chronic ...
What differentiates a trauma from an event that is merely upsetting? Wildly different definitions of trauma have been used in both formal (psychiatric...
INTRODUCTION: Electrode array translocation is an unpredictable event with all types of arrays, even using a teleoperated robot in a clinical scenario...