Domestic Violence

Artificial intelligence tools for the assessment and management of dysphagia: a scoping review.

OBJECTIVES: To explore the existing artificial intelligence (AI) tools used in the assessment and management of dysphagia. DESIGN: Scoping review. DATA SOURCES: MEDLINE (Ovid), Scopus, CINAHL (EBSCOhost), Cochrane Library, Joanna Briggs Institute (JBI) Evidence Synthesis, ProQuest and Google Scholar were searched for studies published between January 2000 and May 2025. ELIGIBILITY CRITERIA: Studie...

Educators' Perspectives on Generative AI Use in Nursing Education: Friend or Foe?

AIM: This study explores nursing educators' perspectives on the challenges and benefits of integrating generative artificial intelligence (AI) into nursing education. There is little empirical evidence on how educators perceive these technologies and how such perceptions influence their integration into curriculum design, teaching practices, assessment, and student research and learning. DESIGN: E...

Screening for diabetic retinopathy with artificial intelligence in a primary care setting: a comparative cost analysis.

OBJECTIVE: Cost analysis of autonomous artificial intelligence (AI)-based screening of diabetic retinopathy (DR) for adults with diabetes at a primary...

Prediction models for highly scalable technology-assisted differential diagnostics of autism spectrum disorder.

BACKGROUND: Diagnosing autism spectrum disorder (ASD) in adulthood is time-consuming and markedly complicated by the requirement to distinguish betwee...

A Systematic Review and Quality Appraisal of AI-Augmented Intervention Studies for Autistic Individuals.

Artificial intelligence (AI) has been increasingly integrated into autism interventions to support personalization and scalability; however, the stren...

Evaluation framework for assessing the quality and safety of artificial intelligence solutions for the acute care surgeon: a narrative review from the Eastern Association for the Surgery of Trauma quality, safety, and outcomes committee.

Artificial intelligence (AI) has been developing as a field for decades. As acute care surgeons, we have been using AI in the clinical realm and in ou...

An explainable machine learning approach for cervical cancer screening: decoding morphological diagnostic drivers.

BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...

Predetermined Change Control Plan Adoption and Documentation Transparency in FDA-cleared Radiology Artificial Intelligence/Machine Learning Devices.

Purpose To characterize Predetermined Change Control Plan (PCCP) adoption and documentation transparency among U.S. Food and Drug Administration (FDA)...

A Machine Learning and Large Language Model Tool for Systematic Literature Reviews of Health Economic Evidence: A Validation Study.

BACKGROUND: Systematic literature reviews offer high potential for efficiency gains from artificial intelligence (AI), now integrated into several sys...

A novel hierarchical transfer learning to enhance breast cancer detection on screening mammography using deep learning.

Accurate and early detection of breast cancer in screening mammography remains a critical challenge in medical imaging, particularly due to variations...

Robotics and Technologies for the Safety and Health of Farmers: A Scoping Review.

BACKGROUND: Agriculture is widely acknowledged as a dangerous industry for workers. Agriculture workers are also older compared with other industries,...

Performance of 5 Large Language Models in Perioperative Consultation for Pediatric Hypospadias: Cross-Sectional Comparative Study.

BACKGROUND: Hypospadias is a common congenital malformation requiring surgery. Caregivers face substantial perioperative information needs, and large ...

End-to-End Clinical Validation of a Human-Supervised Large Language Model Agent for Enterprise Surgical Pathology Reporting.

Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical val...

RenalTox-XAI: Applicability-Domain-Constrained and Descriptor-Guided QSAR Framework for Early Screening and Safety Prioritization of Drug-Induced Renal Injury.

Drug-induced renal injury (DIRI) remains a major cause of drug attrition and post-marketing safety concerns, highlighting the need for reliable early-...

A two-stage near-infrared framework for screening and quantification of trace soil hexachlorocyclohexane under strong matrix interference.

Hexachlorocyclohexane (HCH) is a persistent legacy pesticide whose presence in soils threatens environmental quality and food-chain safety. Although n...

Nursing students' informal use of generative artificial intelligence in relation to workplace violence during clinical placement: A qualitative exploratory study.

AIM: To explore how nursing students described and interpreted their use of generative artificial intelligence in relation to workplace violence durin...

Improving laboratory workforce efficiency using AI-assisted digital cytology within an HPV-based cervical screening programme: A model-based evaluation for the NHS Cervical Screening Programmes.

OBJECTIVES: We aimed to estimate the time required to review and report cervical cytology slides within a Human Papillomavirus (HPV)-primary cervical ...

Mapping the evidence on artificial intelligence-based clinical decision support systems for undergraduate nursing students: a scoping review protocol.

OBJECTIVE: This scoping review will map the scope and nature of the available evidence on the use of artificial intelligence-based clinical decision s...

Risk-Guided Screening for Atrial Fibrillation Using Electronic Health Records.

BACKGROUND: Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We aimed to develop, externally validate, and prospe...

Artificial Intelligence Technologies Supporting Clinical Judgement in Nursing: A Scoping Review.

AIM: To map and analyse how artificial intelligence technologies interact with and support clinical judgement processes in nursing across practice and...