Domestic Violence

Generative artificial intelligence in undergraduate paediatric nursing education: A scoping review of current applications and ethical considerations.

BACKGROUND: Paediatric content in undergraduate nursing education is typically delivered through lectures, simulation, and clinical placements. Constraints include reduced placement availability, variable learning quality, and shortages of paediatric-qualified educators have increased reliance on simulation and virtual learning. Generative artificial intelligence (GenAI) offers scalability to supp...

A straightforward framework to harmonize computational pathology.

Computational pathology datasets are commonly described using inconsistent and locally defined terminology, often conflating biological units (patients, specimens), lab preparations (blocks, slides), and derived digital data (whole-slide images (WSIs), tiles, and patches). This ambiguity complicates interpretation of training data composition, limits comparability across studies, and affects claim...

Diagnostic accuracy of serum and synovial biomarker thresholds for diagnosing periprosthetic joint infection: a QUADAS-C-guided systematic review and meta-analysis.

BACKGROUND: Periprosthetic joint infection (PJI) remains one of the most serious complications after joint arthroplasty, and accurate diagnosis contin...

Combining Machine Learning Models and Screening to Enhance Suicide Risk Identification for American Indian Patients: Retrospective Cohort Study.

BACKGROUND: American Indian and Alaska Native communities experience disproportionately high suicide rates. While machine learning (ML) models leverag...

Early Identification of Mobility Limitations in Community-Dwelling Middle-Aged and Older Adults: Development of a Prediction Model Based on a Prospective Cohort.

BACKGROUND: With the aging of the global population, preventing the onset of mobility limitations is considered a worldwide public health priority. OB...

State of the Art: Scapholunate Ligament Injuries.

ABSTRACT: Scapholunate ligament injuries are the most common ligamentous injuries of the wrist and typically result from high-energy trauma, most ofte...

A call for clarity: a unified checklist for reporting use of large language models in writing scientific manuscripts.

The rapid integration of generative artificial intelligence (Gen AI) into academic writing has outpaced the establishment of consistent norms for resp...

Artificial Intelligence Applications in General Surgery in the United States of America: A Bibliometric Analysis.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming surgical practice, with applications spanning preoperative planning, intraoperative g...

When to stop reviewing: validation of stop criteria in ASReview.

BACKGROUND: Systematic reviews are essential for evidence-based research, but they often require a great deal of time and effort. Although title and a...

Childhood environment clusters reveal heterogeneous associations between large-scale brain networks and youth mental health symptoms.

BACKGROUND: Youth mental health and brain development are profoundly shaped by highly heterogeneous childhood environments. However, research often op...

Update on topography and tomography for refractive surgery.

PURPOSE OF REVIEW: To review and summarize the current literature on recent advances in corneal topography and anterior segment tomography, highlighti...

[Use of artificial intelligence for next-gen anamnesis and communication in orthopedics & trauma surgery : From chatbots to ambient intelligence].

BACKGROUND: Against the backdrop of increasing patient volumes, rising case complexity, and physicians' limited time, AI-driven systems for anamnesis,...

Cognitive Function Assessment Using a Virtual Reality Serious Game System in Patients With Stable Schizophrenia: Prospective Cohort Study.

BACKGROUND: Cognitive impairment is a core and enduring deficit in schizophrenia, severely affecting social functioning and quality of life. Tradition...

The detectability paradox: bilingual medical report generation with open-weight models and the limits of human oversight.

OBJECTIVES: The automation of medical report generation using large language models (LLMs) could significantly reduce physicians' documentation burden...

Predicting first onset of suicide attempt among children with suicidal ideation or non-suicidal self-injury using machine learning: a prospective population-based cohort study.

While children with suicidal ideation or non-suicidal self-injury (NSSI) are at high risk of suicide, most do not attempt suicide. This study aims to ...

Risk classification of oral potentially malignant disorders (OPMDs) using explainable machine learning through a community-based cross-sectional study in rural India.

BACKGROUND: Oral cancer is a major public health problem among the population of India. In rural setting whereby there is exposure to high-risk factor...

Machine Learning-Based Prediction Model for Infectious Complications in Trauma and Its Association With In-Hospital Mortality.

BACKGROUND: Infectious complications, such as sepsis or catheter-related infections, are common and serious sequelae after trauma. Despite their clini...

[Writing with a system-ChatGPT in the scientific practice of orthopedics and trauma surgery].

With the emergence of generative AI models such as ChatGPT, a new phase of scientific work is also beginning in orthopedics and trauma surgery. As a l...

Can a Large Language Model Grounded in Text-Based Agency-Specific Prehospital Protocols Provide Accurate Care Recommendations?

OBJECTIVES: Large language models (LLMs) using a retrieval-augmented generation (RAG) approach have the ability to respond to user queries with answer...

Financial incentives increase uptake and perceived effectiveness of autonomous medical AI, yet patients still seek human reconfirmation.

Artificial intelligence (AI) is increasingly used for diagnostic screening. In diabetic retinopathy screening, autonomous AI systems can identify dise...