Emergency Medicine

Can ChatGPT-4o handle the heat? Benchmarking AI against clinicians in initial burn care: A single-blinded comparative analysis.

INTRODUCTION: Artificial intelligence (AI) tools such as ChatGPT are increasingly accessed by the public for health-related advice; however, their accuracy in acute burn management remains uncertain. We aimed to assess the domain-specific accuracy and quality of ChatGPT's burn guidance for public use, compared with clinicians, using British Burn Association (BBA) guidelines as the benchmark. METHO...

Performance of an adult-trained AI tool for intracranial hemorrhage detection on head CT in children aged 6-17 years.

BACKGROUND: Most commercially available artificial intelligence (AI) tools in radiology are trained and approved for adult use, creating an access gap for pediatric patients. Intracranial hemorrhage (ICH) detection is a common adult AI application without pediatric FDA clearance. OBJECTIVE: To evaluate the performance of an FDA-cleared, adult-trained AI tool for ICH detection on non-contrast head ...

Classification and discrimination of emotion dysregulation disorders using machine learning.

Attention-deficit/hyperactivity (ADHD), bipolar (BD) and borderline personality (BPD) disorders are severe psychiatric illnesses often presenting with...

Outcome Prediction in Pediatric Traumatic Brain Injury Utilizing Social Determinants of Health and Machine Learning Methods.

BACKGROUND AND PURPOSE: Considerable socioeconomic disparities exist among pediatric patients with traumatic brain injury (TBI). This study aims to an...

Head-to-Head Comparison of 2 Artificial Intelligence Computer-Aided Triage Solutions for Detecting Intracranial Hemorrhage on Noncontrast Head CT.

BACKGROUND AND PURPOSE: This study aims to provide a comprehensive comparison of the performance and reproducibility of 2 commercially available artif...

Comparison of the predictive performance of machine learning and conventional logistic regression models for poor discharge outcomes in patients with Aneurysmal subarachnoid hemorrhage: A retrospective cohort study.

HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment.

Mathematical modeling in systems toxicology enables a comprehensive understanding of the effects of pharmaceutical substances on cardiac health. Howev...

[Regression analysis to calculate the time point of ROSC-A feasibility study].

BACKGROUND: A regression model to estimate the duration from the onset of resuscitation efforts to the return of spontaneous circulation (ROSC) could ...

Incorporating artificial intelligence into imaging for surveillance and diagnosis of liver cancer: Innovations, challenges, and clinical translation.

Primary liver cancer, mainly hepatocellular carcinoma and intrahepatic cholangiocarcinoma, remains a leading cause of cancer mortality worldwide. Earl...

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable disease course. This stud...

Transplatformer: translating toxicogenomic profiles between generations of platforms.

BACKGROUND: Transcriptomic profiling technologies have advanced the analysis of biological and toxicological responses. However, substantial differenc...

Artificial intelligence in resuscitation - transforming emergency care in the digital age.

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study.

BACKGROUND: Trauma is a major global cause of morbidity and mortality, with haemorrhage representing a leading preventable cause of early death. Timel...

Hierarchy and hope: Exploring AI's role in medicine through a thematic analysis of online discourse.

The healthcare community remains divided on the benefits of artificial intelligence (AI) in medicine. In this qualitative study, we sought to better u...

Integrated omics and machine learning uncover the molecular basis of environmental toxicant 6PPD-Qinduced non-obstructive azoospermia.

BACKGROUND: N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPD-Q), a transformation product of tire rubber antioxidants, has been increa...

Evaluating Plastic Surgery Chatbot Performance: Insights into Medical Triage, Classification Accuracy, and Escalation Trends.

BACKGROUND: The integration of AI chatbots into plastic surgery websites is now standard, providing asynchronous, real-time engagement for patients. A...

Improving Clinical Decision-Making in Treating Airway Diseases With an Expert System Built Upon the Free AI Tool Google NotebookLM.

We used the free artificial intelligence (AI) tool Google NotebookLM, powered by the large language model Gemini 2.0, to construct a medical decision-...

Integrative transcriptomics, machine learning, and molecular docking reveal that nicotine exacerbates ischemic stroke: TLR4-dependent activation of NLRP3/caspase-1/GSDMD-mediated microglial pyroptosis.

OBJECTIVE: This study aimed to clarify the molecular mechanisms through which nicotine (Nic) aggravates ischemic stroke (IS), with an emphasis on infl...

Deep learning-based survival outcomes of REBOA vs resuscitative thoracotomy in trauma: a nationwide cohort study in South Korea.

Network toxicology and experimental validation reveal TDCPP as an emerging environmental risk factor for chronic kidney disease.

BACKGROUND: Tris(1,3-dichloro-2-propyl) phosphate (TDCPP) is a widely used organophosphorus flame retardant that has raised growing concern because it...