Emergency Medicine

Transformation of trauma and orthopaedics across the six industrial revolutions: from mechanization to artificial intelligence applications in enhancing patient care.

BACKGROUND AND PURPOSE: Technological innovation has played a pivotal role in shaping trauma and orthopaedic surgery. This narrative review examines the evolution of orthopaedic practice across six industrial revolutions, from early mechanization to contemporary artificial intelligence (AI)-driven healthcare. METHODS: A structured literature search of major databases and historical sources was per...

Early prediction of severe Omicron pneumonia using a multimodal a.i. model integrating delta CT radiomics and laboratory indicators.

Early identification of patients at risk of severe pneumonia during Omicron SARS-CoV-2 infection is critical for optimizing care and allocating resources. While clinical markers provide insights, imaging-derived radiomics features may enhance prognostic accuracy. We developed a multimodal predictive model combining Delta Radiomics features from serial chest CT scans with clinical data, including b...

Emergency Nurses' Experiences With Artificial Intelligence-Driven Triage Clinical Decision Support Systems: A Protocol for a Systematic Review of Qualitative Studies.

INTRODUCTION: Emergency department overcrowding remains a critical global challenge, and artificial intelligence-driven clinical decision support syst...

Quantitative Assessment of Nanoplastic Toxicity Risks Across Aquatic Trophic Levels with Data-Driven Models and Exposure Experiments.

Emerging contaminants such as nanoplastics (NPs) pose significant risks to aquatic ecosystems. However, the key features governing NPs toxicity and th...

Development of an anemia detection model in emergency departments using lip region images based on medical knowledge and deep learning technology.

Anemia's high global prevalence and socio-economic burden necessitate early diagnosis, yet reliance on invasive blood testing creates significant barr...

Association between visceral adiposity index and delayed union/nonunion after tibial or femoral shaft fractures: a single-center retrospective cohort study.

BACKGROUND: Delayed union and nonunion remain clinically important complications after tibial and femoral shaft fractures. Although traditional risk f...

Integrating 2.5D multi-modal CT imaging with serum triglycerides for early risk stratification in hypertriglyceridemia-induced acute pancreatitis: A multicenter study.

OBJECTIVES: To develop and externally validate a clinical-radiological framework that fuses 2.5D deep learning features from dual-phase computed tomog...

Artificial intelligence (AI)-powered diagnostic support for stroke via Telegram bot: preliminary findings.

BACKGROUND: Annually, stroke affects over 15 million people globally. Early intervention is critical in the management of stroke. However, the "golden...

Molecular mechanism by which perfluorooctane sulfonate regulates the initiation and progression of prostate cancer via the ENTPD5-adenine axis.

Perfluorooctane sulfonate (PFOS), a persistent member of the per- and polyfluoroalkyl substances family, has been increasingly associated with adverse...

Integrated network toxicology and experimental validation to investigate potential mechanisms associated with aspartame-induced malignant phenotypic changes in colorectal cancer.

To investigate the potential molecular mechanisms underlying aspartame (APM)-induced malignant phenotypic changes in colorectal cancer (CRC). Candidat...

Miniaturization in robotic surgery: a bibliometric and science mapping analysis of technological evolution and clinical translation (1996-2026).

Miniaturization has emerged as a major technological trajectory in robotic surgery, encompassing single-port systems, flexible endoscopic platforms, c...

Artificial Intelligence in Pediatric Imaging: A Primer for Pediatric Clinicians.

Artificial intelligence (AI) is reshaping healthcare, and radiology is at the forefront for adoption. Increasing demand for imaging, complex protocols...

Integrating Psychosocial Factors into Artificial Intelligence Models for Predicting Addiction Treatment Outcomes: A Systematic Review.

INTRODUCTION: The integration of artificial intelligence (AI) into addiction research has expanded rapidly, yet it remains unclear how psychosocial, b...

Retinal Microvascular Signatures as Early Predictors of Cardiovascular Risk: Integrating Pathophysiology, Molecular Insights, and Artificial Intelligence.

Cardiovascular diseases (CVDs) continue to be a significant public health burden and public health emergency in the world, underscoring the importance...

Improving End-of-Life Screening in the Emergency Department With Collaborative Artificial Intelligence.

STUDY OBJECTIVES: To compare end-of-life predictions as measured by the physician-answered surprise question (SQ), "Would you be surprised if this pat...

AI-derived bone mineral density from standard radiographs compared with DXA for fracture prediction in a 10-year real-world cohort study.

UNLABELLED: AI-derived bone mineral density from routine radiographs showed strong agreement with DXA and comparable ability to predict incident fract...

Acute effects of cadmium and zinc on crayfish (Procambarus clarkii): insights from deep learning-based behavioral analysis and physiological assessments.

While the biochemical impacts of heavy metals on aquatic organisms are well-documented, quantitative behavioral analyses remain limited. This study in...

The AI dispatcher copilot: beyond cardiac arrest recognition to dynamic large language model-assisted Tele-CPR.

AIM: Out-of-hospital cardiac arrest (OHCA) remains a leading cause of death. Although emergency medical dispatchers represent the first link in the Ch...

Large Language Models Provide Accurate but Potentially Unsafe Answers to Multimodal Critical Care Medicine Board Review Questions.

OBJECTIVES: To evaluate the performance of Chat Generative Pre-Trained Transformer-4 Omni (ChatGPT-4o) in answering multimodal critical care board rev...

Crowding in real-time: an artificial intelligence-based model to manage crowding in the emergency department (CRAMMED Study).

BACKGROUND: Emergency department (ED) crowding is a global challenge with adverse effects on patient outcomes and staff well-being. Traditional crowdi...