Domestic Violence

The Performance of Artificial Intelligence in Providing Real-Time Aid in Emergency Dental Trauma: A Clinical Validation Study.

BACKGROUND: Searching online for dental emergency treatment as a non-expert can lead to unreliable guidance. We tested the publicly available first multimodal large-language model, ChatGPT-4o, prospectively with real emergency-department avulsion cases to determine if it would deliver guideline-correct, time-critical directions within seconds. METHODS: Seventy-eight anonymized avulsion charts (42 ...

AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.

PURPOSE: Osteoporosis is an under-screened musculoskeletal disorder that results in diminished quality of life and significant burden to the healthcare system. We aimed to evaluate the ability of Rho, an artificial intelligence (AI) tool, to prospectively identify patients at-risk for low bone mineral density (BMD) from standard x-rays, its adoption rate by radiologists, and acceptance by primary ...

Generative Artificial Intelligence Methodology Reporting in Otolaryngology: A Scoping Review.

OBJECTIVE: Researchers in otolaryngology-head and neck surgery (OHNS) have sought to explore the potential of large language models (LLMs), but many p...

From Screening to Safety: Addressing Donor Deferral Practices for a Safer Blood Supply.

For ensuring blood safety, potential blood donors undergo comprehensive eligibility screening, comprising a review of their medical history and a phys...

Long-Term Outcomes and Cost-Effectiveness of Artificial Intelligence for Breast Cancer Screening: A Modeling Study.

OBJECTIVES: Artificial intelligence (AI)-assisted breast cancer screening may improve diagnostic accuracy; however, the long-term health outcomes and ...

Nurse and Other Healthcare Managers' Experiences and Recommendations for Patient Incident Reporting Processes and Real-Time Software Development: A Qualitative Study.

AIMS: To (1) analyse managers' experiences with handling patient safety incident reports in an incident reporting software, identifying key challenges...

Toward Standardized ICU Trauma Resuscitation via Markov Decision Processes.

OBJECTIVE: Guideline-based recommendations for posthemostasis resuscitation in trauma patients remain limited. This study aimed to define an interpret...

Advances in high-throughput drug screening based on pharmacotranscriptomics.

BACKGROUND: Drug screening constitutes the predominant paradigm for novel drug discovery. With the development of omics, drug screening has gradually ...

Customizing AI-based screening with real-world data: Practical insights from diabetic retinopathy.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss in middle-aged adults globally. Although artificial intelligence (AI)-based scree...

Machine Learning Insights Into Social Determinants Driving Child Abuse in Pediatric Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: Social determinants of health (SDOH) are key drivers of health inequities, shaping disparities in patient outcomes that mus...

An economic scenario analysis of implementing artificial intelligence in BreastScreen Norway-Impact on radiologist person-years, costs and effects.

ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision support tool in the Norwegian breast cancer screening pr...

AI & collective memory.

In this review, I show how Generative AI (GAI) utterly transforms how we represent, access, expose and cover, find and lose, sanitise and toxify, use ...

Screening for Barrett Esophagus and Esophageal Adenocarcinoma: Approaches and Outcomes.

Barrett esophagus (BE) is the only known histological precursor to esophageal adenocarcinoma (EAC). The incidence of EAC has risen significantly over ...

Navigating Medical Device Safety: Current Status, Challenges, and Future Regulatory Directions.

Medical devices are indispensable in modern healthcare. They enable the prevention, diagnosis, and treatment of diseases while enhancing patient outco...

Machine Learning in Venous Thromboembolism-Why and What Next?

Venous thromboembolism (VTE) remains a leading cause of cardiovascular morbidity and mortality, despite advances in imaging and anticoagulation. VTE a...

Classifying Care Needs and Determining Nursing Diagnoses of Older Patients With Cardiometabolic Multimorbidity.

AIM: This study aimed to gain insight into the thoughts, perceptions and needs of nurses caring for older adults with cardiometabolic multimorbidity r...

Child sex doll and sex robot research: Taking a child rights perspective.

Direct child sexual abuse is pervasive, with consistent estimates across reviews and epidemiology at up to 20 % for girls and up to 15 % for boys; the...

Intelligent consensus-based QSAR modeling and virtual screening of dual inhibitors of 5HT1A/5HT7 serotonin receptors.

Dual inhibitors of 5HT1A and 5HT7 serotonin receptors provide improved therapeutic effectiveness for depression, anxiety disorders, and neuropsychiatr...

Graph Neural Networks for Realistic Bleeding Prediction in Surgical Simulators.

This study presents a novel approach using graph neural networks to predict the risk of internal bleeding using vessel maps derived from patient CT an...

From prediction to precision: The emerging impact of artificial intelligence in trauma care.