Latest AI and machine learning research in domestic violence for healthcare professionals.
BACKGROUND: Digital technology integrates information and communication tools such as electronic health records, wearable devices, and artificial intelligence, which has become an important driving force for optimizing nursing quality management. However, existing studies on the application of digital technology in nursing quality management are fragmented, with unclear conceptual boundaries and l...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical planning, risk stratification, and outcome prediction. This systematic review evaluates AI-labelled prediction models predicting treatment-related outcomes in patients with urinary stone disease undergoing endourological procedures. METHODS: A systematic search of PubMed, EMBASE, Scopus, and Web of ...
OBJECTIVES: To determine whether an artificial-intelligence-driven Clinical Deterioration Index (CDI) could identify geriatric hip-fracture patients a...
OBJECTIVES: To evaluate whether collaborative assistance from an artificial intelligence-based tool that proposes partial radiology report content can...
BACKGROUND: Artificial intelligence (AI) is expanding across various medical fields, with machine learning (ML) being increasingly used to enhance pat...
Objective: To systematically summarize and evaluate the current application status and research progress of artificial intelligence (AI) in cervical c...
BACKGROUND: Intimate partner violence (IPV) remains a major global public health and humanrights challenge, with a disproportionate burden in sub-Saha...
OBJECTIVES: Accurate prediction models for imported infectious diseases are essential for early warning, cross-border surveillance, and resource alloc...
PURPOSE OF THE REVIEW: Artificial intelligence in health is evolving rapidly, and there is a lot of hope that it may improve patient outcomes. The per...
Ammonia (NH3) is a promising carbon-free energy carrier, and its synthesis is a key process in the chemical industry. While the Haber-Bosch process re...
OBJECTIVE: The primary objective of this study is to enhance the detection and staging of pressure injuries using machine learning capabilities for pr...
BACKGROUND: Artificial intelligence (AI) and computerized clinical decision support systems (CDSS) are increasingly applied in intensive care, yet the...
OBJECTIVE: This feasibility study aimed to assess the potential of freely available large language models (LLMs) to support clinical decision-making i...
AIMS: Primary aldosteronism (PA) screening is difficult in an unselected population of hypertensive patients, as it can be challenging. We report new ...
BackgroundWith the advent of anti-amyloid-β monoclonal antibody therapies and the growing societal burden of dementia, early identification of Alzheim...
Coronary artery calcium (CAC) can be identified on thoracic CT performed for a variety of clinical indications, including routine thoracic CT, lung ca...
Reproducibility of machine learning applications in clinical informatics heavily relies on data preparation. However, preprocessing pipelines are not ...
The growing burden of mental illness and limited access to evidence-based psychotherapy have increased interest in artificial intelligence (AI)-driven...
INTRODUCTION: The growing volume of primary research and the increasing demand for timely, high-quality evidence syntheses (ESs) have intensified inte...
AIM: To explore nurses' lived experiences of a generative artificial intelligence-enabled shift handover innovation. DESIGN: A descriptive phenomenolo...