Emergency Medicine

GATA3 mediates the cardioprotective effect of hydroxysafflor yellow a against septic cardiomyopathy: insights from integrated machine learning, WGCNA, and experimental validation.

UNLABELLED: Sepsis-induced cardiomyopathy represents a life-threatening complication arising from severe sepsis and septic shock. Hydroxysafflor yellow A (HSYA), a major quinone chalcone constituent, protects cardiac function in this disease. This study explored the detailed mechanisms of HSYA in mitigating sepsis-related cardiomyopathy. Potential targets of HSYA against sepsis-induced cardiomyopa...

Can ChatGPT Take My Call? evaluating AI in gynecologic oncology telephone triage.

BACKGROUND: As access to artificial intelligence (AI) expands, patients and clinicians increasingly rely on these platforms for medical information and guidance. This study assessed ChatGPT's ability to triage and respond to gynecologic oncology (GO) patient telephone calls. METHODS: In this cross-sectional study, 30 patient scenarios received by on-call GO fellows were evaluated using ChatGPT-4o....

AI-based diagnostic evaluation of GPT-4o for crown-fracture detection on maxillary periapical radiographs: effects of prompt detail and customization.

BACKGROUND/AIM: Artificial intelligence (AI) and large language models (LLMs) are rapidly entering dental imaging workflows. We conducted a diagnostic...

Safety and diagnostic accuracy of large-language model application of PECARN head injury algorithm.

BACKGROUND: Clinical decision algorithms used by clinicians guide evidence-based decisions and actions. Automated tools can help with the adoption and...

Artificial intelligence for marine oil spill management: Recent advances and future directions.

Marine oil spills are one of the most severe anthropogenic threats to oceanic ecosystems, coastal communities, and global economic stability. While tr...

AI detection of knee joint effusion from radiographs: Comparative accuracy of two commercial algorithms.

BACKGROUND: Knee joint effusion might indicate injury even without bony changes. Automated detection from radiographs could improve the sensitivity of...

From decision support to clinical integration: A scoping review of artificial intelligence in prehospital airway management.

BACKGROUND: Airway management is a critical component of prehospital emergency care, where rapid decision-making and procedural accuracy are essential...

Rapid Multi-Parametric Quantitative MRI via Deep Learning-Based Synthetic-to-Real Reconstruction and 3D SSFP-MOLED Imaging.

Multi-parametric quantitative magnetic resonance imaging (mqMRI) holds significant clinical potential through multi-parametric tissue characterization...

Machine learning and multi-dimensional transcriptomics reveal the key molecular network of benzo(a)pyrene/NNK in promoting laryngeal cancer and develop prognostic models.

Benzo(a)pyrene (BaP) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), as typical environmental carcinogens, are widely present in tobacco smo...

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...

Ventral hernia repair in emergency settings. A machine learning model to predict post-operative complications.

BACKGROUND: Emergency ventral hernia repair remains a challenging procedure due to patient instability, contaminated surgical fields, and heterogeneit...

[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,...

Machine Learning-Based Predictive Model for Fever and Adverse Clinical Events in Hospitalized Pediatric Burn Patients.

Systemic inflammation after pediatric burn injury frequently causes fever, complicating early recognition of infectious complications. Improved risk-s...

Deep learning-enabled monitoring of postoperative fracture healing on serial radiographs: a 150-patient study using an enhanced YOLOv11 framework.

OBJECTIVES: To develop and validate a deep learning framework for classifying postoperative time-points as a proxy task for monitoring longitudinal fr...

Construction and verification of multimodal model for prognosis in elderly patients with aneurysmal subarachnoid hemorrhage.

OBJECTIVE: This study aimed to construct and validate an individualized prediction model for poor prognosis in elderly patients with Aneurysmal subara...

Systematic evaluation of the DeepSeek large language model for clinical diagnostic reasoning.

BACKGROUND: Artificial intelligence (AI) is undergoing an era of transformative advancement, particularly through the emergence of Transformer-based l...

Validation of a machine learning model for predicting early deterioration in the emergency department.

Early recognition of patients at risk for deterioration in the emergency department (ED) is critical for patient safety. Traditional early warning sco...

Machine Learning in Postcardiotomy Shock: Implications for Temporary Mechanical Circulatory Support.

Postcardiotomy shock (PCS) is a distinct form of cardiogenic shock that occurs after cardiac surgery and necessitates rapid decisions regarding tempor...

Development and validation of a clinlabomics-based machine-learning model for noninvasive risk stratification of moderate-to-severe OSA.

PURPOSE: Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder strongly associated with adverse cardiometabolic and neurocognitive outcom...

Multiple Targets and Pathways Non-Monotonically Regulate Lung Squamous Cell Carcinoma Migration in Response to Phthalates.

Phthalates (PAEs) are widely used plasticizers that are increasingly linked to tumorigenesis. In this study, we integrated network toxicology and mach...