Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Traumatic patients usually suffer from several complex conditions that hinder their risk characterization. The aim of this study was to derive phenotypes of prehospital acute life-threatening trauma via nonsupervised artificial intelligence (AI) clustering methods. METHODS: This was a prospective multicenter study in adult trauma patients treated in prehospital care and transferred to ...
OBJECTIVES: Besides clinical examination, cranial CT plays a critical role in diagnostics in neurosurgery. In trauma cases or perioperatively, having low-barrier access to CT-like imaging would be highly beneficial. Therefore, this feasibility study examines at an early stage if and how well synthetic cranial CT imaging can be generated from biplanar radiographs of adult neurosurgical patients usi...
Reconstruction of facial defects requires highly accurate techniques that utilize modern effective technologies. 3D printing has revolutionized the fi...
Reconstructive surgery is fundamentally dedicated to restoring tissues and organs damaged by trauma, disease, or congenital anomalies, with the goal o...
With the development of large language models (LLMs), numerous studies have demonstrated their vulnerability to carefully crafted jailbreak attacks. H...
Acute pancreatitis is a complex inflammatory condition characterized by sudden onset and rapid progression, with severe cases often associated with hi...
OBJECTIVES: Studies have reported promising results regarding artificial intelligence (AI) as a tool for improved mammographic screening interpretive ...
Early and precise diagnosis of gestational diabetes mellitus (GDM) is crucial for improving maternal and neonatal outcomes and reducing the risk of ad...
Three-dimensional, self-organizing structures derived from stem cells, known as organoids, represent a groundbreaking advancement in preclinical drug ...
Artificial intelligence (AI) is reshaping population screening, yet the translation from laboratory performance to population benefit remains limited....
BACKGROUND: Traumatic Brain Injury (TBI) poses a significant public health challenge in India, with nearly 2 million cases annually and limited CT ava...
OBJECTIVE: The aim of the systematic review is to evaluate the application of machine learning (ML) and artificial intelligence (AI) models in the ana...
BACKGROUND: Trauma is a major global health burden leading to significant morbidity, disability, and mortality. Predictive models in trauma care tradi...
BACKGROUND AND OBJECTIVE: This systematic review evaluates the current state of Machine Learning (ML) methods for predicting Atrial Fibrillation (AF) ...
On-demand chemical spaces consist of molecules that are, a priori, readily synthesizable from sets of commercial building blocks through robust organi...
OBJECTIVES: The global crisis of antimicrobial resistance (AMR) demands a paradigm shift in traditional drug discovery, and artificial intelligence (A...
OBJECTIVE: There is a lack of breast radiologists in Norway and in Europe. Artificial intelligence (AI) offers an alternative to solely human readers ...
BACKGROUND: Child neglect and abuse are prevalent worldwide yet often incompletely reported and are frequently associated with long-term adverse physi...
OBJECTIVES: The surge in publications increases screening time required to maintain high-quality literature reviews. One of the most time-consuming ph...
BACKGROUND: Artificial intelligence (AI) technologies are increasingly incorporated into restorative and esthetic dentistry; however, their reliabilit...