Domestic Violence

Artificial Intelligence Technologies in Nursing Clinical Decision-Making: An Umbrella Review.

AIM: To describe contemporary peer-reviewed literature on artificial intelligence in nurses' clinical decision-making. METHODS: An umbrella review of literature reviews. DATA SOURCES: Four major databases were searched for reviews published between 2019 and 2024. RESULTS: Sixteen literature reviews reported on 965 nursing artificial intelligence primary studies. The studies focused on technology d...

Integration of detection and tracking networks for automated rib multiplanar reconstruction: a feasibility study for fracture diagnosis.

OBJECTIVE: Rib fractures are common yet time-consuming to diagnose. This study explores automation via multiplanar reconstruction and intelligent detection algorithms to accelerate and optimize clinical assessment. MATERIALS AND METHODS: A retrospective study was conducted with data from consecutive three-dimensional (3D) computed tomography (CT) examinations of the ribs in 230 patients (137 males...

Application value of gastric contrast ultrasonography in gastric tumors.

In recent years, gastric oral contrast ultrasonography (OCUS) and double contrast-enhanced ultrasonography (DCEUS) have emerged as promising imaging t...

Integrating Large Language Models Into Trauma Education for Medical Students: Randomized Controlled Pilot Trial.

BACKGROUND: The exponential growth of medical knowledge presents a paradox for modern medical education. While access to information is immediate, app...

Establishing the laboratory error database: rationale, methodology, and a practical example.

Laboratory errors represent a critical yet underestimated threat to patient safety, with 26-30 % of reported errors adversely affecting patient care. ...

Jigsaws soup: Improved laparoscopic surgical gesture classification, and skill level evaluation using model souping.

Laparoscopy has revolutionised surgery, with faster recovery and less trauma for patients. However, extensive training is needed to gain the required ...

CT acquisition protocols in lung cancer screening: implications for guideline development from a worldwide survey.

OBJECTIVES: To assess the currently applied CT image acquisition protocols in lung cancer screening (LCS) and thereby fill a knowledge gap to support ...

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions - A scoping review.

BACKGROUND: Routine healthcare data are increasingly stored in electronic health records (EHRs), presenting an exciting opportunity to leverage machin...

Artificial intelligence in the diagnosis and prognosis of ocular trauma: a systematic review.

The economic imperative of artificial intelligence in maternal and neonatal health: a review of evaluation benefits, frameworks, challenges, future perspectives, and limitations.

Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant opportunities for enhancing patient care through a...

Prostate MRI quality improvement: a Roadmap from the ESUR Prostate MRI Working Group.

Prostate magnetic resonance imaging (MRI) has become a crucial tool in diagnosing and managing prostate cancer, mainly by helping to avoid unnecessary...

Machine Learning Models for Identifying Dental Pain in Adolescents.

INTRODUCTION: This study aimed to identify dental pain using machine learning (ML) algorithms in Brazilian adolescents for public health screening pur...

Accurate, fair, and generalisable scaling of injury severity score-based AI with demographics in terms of mortality in patients with trauma: multi-centre, multi-national retrospective cohort study.

BACKGROUND: Accurate and equitable prediction of trauma-related in-hospital mortality is critical for guiding clinical decisions and optimising trauma...

Combining High-Throughput Screening and In Silico Modeling to Derisk Novel Agrochemicals for Androgen Receptor Binding.

Androgen receptor (AR) modulation is a critical safety concern for environmental chemicals, including agrochemicals, due to its role in endocrine disr...

Evaluating the performance of a custom GPT in full text screening of a systematic review.

AIM: Systematic reviewing is a time-consuming process that can be aided by artificial intelligence (AI). There are several AI options to assist with t...

Advancements in Screening Strategies for Early-Onset Colorectal Cancer (EOCRC).

Screening for early-onset colorectal cancer is a growing public health concern, driven by a rising incidence in younger adults. As trends shift, scree...

A Multidisciplinary Approach for Predicting the Microbiological Spoilage of Chicken Breast Fillets due to Cold-chain Disruption.

Cold-chain disruptions during storage and distribution of raw poultry can significantly reduce product shelf-life and safety. This study evaluated the...

Large language models show promising performance for some systematic review tasks but call for cautious implementation : a systematic review.

OBJECTIVES: With the exponential growth of biomedical literature, the challenge of conducting systematic reviews is becoming increasingly burdensome. ...

Advancing Global Drug Safety: Challenges and Future Perspectives in Pharmacovigilance.

Adverse Drug Reactions (ADRs) pose significant challenges to patient safety, healthcare systems, and public health worldwide. As the pharmaceutical la...

Machine-Learning-Assisted Screening of Electrolyte Additives for Aqueous Zinc-Ion Batteries via a Molecular Descriptor Framework.

Additive engineering in aqueous zinc-ion batteries is recognized as a key strategy for improving zinc anode stability. Nevertheless, the conventional ...