Emergency Medicine

World Federation of Orthodontists Global Guidance on patient instructions and emergency protocols: A consensus framework for safe, patient-centered orthodontic care.

Orthodontic treatment is delivered in increasingly diverse clinical and digital environments, yet outcomes continue to depend on patients' understanding, adherence, and timely responses to complications. This World Federation of Orthodontists Global Guidance provides the first internationally oriented, consensus-based framework for orthodontic patient instructions and emergency protocols. An exper...

The Challenges of Predicting Rare Outcomes: A Critical Appraisal of Machine Learning Using the Pediatric Resuscitation and Trauma Outcome (PRESTO) Model in a Tanzanian Injury Registry.

BACKGROUND: Injuries are responsible for 950,000 deaths per year among children and adolescents under 18 years old. Trauma prediction scores are useful in determining severity and prognosis of injury patients. The pediatric resuscitation and trauma outcome (PRESTO) score was developed as a simple score for short-term mortality prediction in pediatric populations in low- and middle-income countries...

Advances in New Approach Methodologies at FDA's Division of Applied Regulatory Science.

New Approach Methodologies (NAMs) represent a paradigm shift in drug development and regulatory science, offering human-relevant alternatives to tradi...

Implementation of an opioid use disorder (OUD) machine-learning phenotype in real-time for the ADAPT clinical trial.

We developed and deploy a real‑time, electronic health record‑integrated machine learning phenotype to identify emergency department patients with opi...

Post-traumatic Psychopathology and Cardiovascular Risk: A Danish Case-Control Study of Sex-Specific Associations.

BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, mo...

PI-QUAL in Clinical Practice: Rationale and a Step-by-Step Approach to Implementation.

Prostate MRI has become integral to prostate cancer diagnosis and management, extending beyond prebiopsy triage to biopsy guidance, local staging, act...

Digital Twin-Enabled Toxicology: Current Applications, Opportunities, and Future Directions.

Toxicology has long depended on animal studies and static computational models to evaluate the safety of chemical substances and pharmaceutical compou...

Will Artificial Intelligence Replace Me? Automation Susceptibility of Emergency Physician Tasks.

STUDY OBJECTIVE: To apply Autor's labor economics task framework to classify emergency physician tasks by automation susceptibility and map current ar...

Insights into the use of artificial intelligence in the drug discovery and delivery of nanosystems for the treatment of infectious diseases and neoplasms.

Artificial Intelligence (AI) has become a fundamental driver of scientific progress, particularly in disease diagnosis, drug development, and drug del...

Embodied artificial intelligence in robotic orthopaedic surgery: from intelligent assistance to adaptive surgical autonomy.

Despite remarkable advances in robotic orthopaedic surgery over the past three decades, current commercial platforms remain precision-assistance techn...

Examining Increased Ritalin and Adderall Use Among Low-Income People Who Use Drugs: Mixed Methods Study.

BACKGROUND: Popular discourse often frames prescription stimulants Ritalin and Adderall as drugs for teens and emerging adults with greater financial ...

Simulation of AI-driven CT Queue Prioritization in the Emergency Department.

Purpose To evaluate the effect of an artificial intelligence (AI)-driven CT queue prioritization system on emergency department CT wait times using a ...

A pharmacist-overseen, artificial intelligence-enabled model for provider-side prior authorization: From burden to opportunity (PAVE-1).

Prior authorization (PA) imposes substantial administrative burdens on clinicians, contributing to burnout, delayed care, and excess health care spend...

Comparative outcomes and predictive factors in vacuum, forceps, and sequential vacuum-forceps operative vaginal deliveries.

BACKGROUND: Operative vaginal delivery (OVD) is an important alternative to cesarean section, but the relative outcomes of vacuum, forceps, and sequen...

Transcriptomic Analysis Reveals Core Genes and Mechanisms Linking Grilled Food Toxicants (4-HNE, BaP, PhIP) to NASH-HCC Progression.

Grilled food toxicants 4-hydroxynonenal (4-HNE), benzo[a]pyrene (BaP), and 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) pose health risks, i...

Artificial intelligence in emergency medicine: from algorithmic performance to real-world clinical integration - understanding the implementation gap.

BACKGROUND: Emergency departments (EDs) operate under time pressure, diagnostic uncertainty, and cognitive overload. Artificial intelligence (AI)-driv...

Artificial intelligence for predicting 30-day mortality after emergency laparotomy.

PURPOSE: Accurate pre-operative risk prediction in emergency laparotomy (EL) is essential for appropriate resource allocation and improve patient outc...

Evolution of Scientific Trends in Oral and Maxillofacial Surgery in the Last Decade.

BACKGROUND: Oral and maxillofacial surgery (OMFS) has undergone rapid scientific evolution over the past decade, driven by technological innovation an...

Using large language models to investigate patients' and caregivers' perceptions on SUDEP: A case study with an online epilepsy population.

BACKGROUND: Sudden Unexpected Death in Epilepsy (SUDEP) is a leading cause of epilepsy-related mortality, yet remains under-communicated in clinical p...

Early-Life Exposure to Organophosphorus Pesticide Mixtures and Impaired Neonatal Neurodevelopment: A Cohort Study Integrating Comprehensive Multi-Omics and Machine Learning.

Early-life exposure to low-dose organophosphorus pesticide (OPP) mixtures and their impact on neonatal neurodevelopment remain insufficiently characte...