Emergency Medicine

AI in clinical trials: Current status, challenges, and future directions for emergency infectious disease clinical trials -Insights from the 2025 iCROWN Symposium.

Artificial intelligence (AI) has the potential to transform how drug development and clinical trials...

Virtual Control Groups in Nonclinical Research: A Re-analysis of 20 Studies Using Virtual Control Group Data.

Animal models are crucial in biomedical research, particularly in pharmaceutical discovery and safet...

Artificial intelligence revolution in toxicology: Clinical precision, global equity, and the 2030 roadmap.

Artificial intelligence (AI) is transforming toxicology by enabling faster, more accurate, and more ...

A two-stage gradient boosting framework coupled with Lagrangian particle tracking for rapid atmospheric radionuclide dispersion prediction in nuclear emergency response.

Predicting the atmospheric dispersion of radionuclides is central to nuclear emergency response, yet...

Impact of Imaging Acquisition and Protocol Variability on Artificial Intelligence Model Performance: A Secondary Analysis of the ASFNR Artificial Intelligence Competition.

BACKGROUND AND PURPOSE: Artificial intelligence (AI) models have shown promise in neuroradiology, ye...

Constraint optimization and key factor analysis based vehicle emergency braking strategy generator.

Enhancing vehicle emergency braking performance is crucial for vehicular safety and reliability. We ...

Advancing medical AI through benchmarking and competition for specialty triage.

Artificial intelligence holds transformative potential for clinical triage, yet challenges in accura...

Machine learning models to detect opioid misuse in emergency department patients at triage.

OBJECTIVE: Emergency department (ED) encounters represent valuable opportunities to initiate evidenc...

Deep Learning Model to Detect Diabetic Retinopathy in 45° Images Using Ground Truth from Ultra-Widefield Imaging.

PURPOSE: To evaluate the performance of a deep learning (DL) model in classifying diabetic retinopat...

AATE-UNet automated assessment of inflammatory response in zebrafish larvae exposed to environmental risks.

In the evaluation of drugs/cosmetics toxicology/efficacy on livings, rapid assessment of inflammator...

Using Data and Artificial Intelligence to Improve Care Pathways of Older People Experiencing Falls and Frailty: Opportunities, Challenges, and Practical Considerations for Clinicians.

Older people living with falls and frailty are common in emergency attendances, admissions and funct...

Exploring key risk factors for loss to follow-up after hospitalization for acute stroke.

BACKGROUND: A significant proportion of stroke patients are lost to follow-up (LTFU) after discharge...

Domain-Shift AI Technology for Vendor-Agnostic Multiple Macular Disease Detection From 3D OCT Scans.

IMPORTANCE: A deep learning (DL) model capable of analyzing optical coherence tomography (OCT) 3-dim...

Effects of a Semantically Irrelevant Virtual Reality Experience on Memory and Emotion After Watching a Traumatic Event: Randomized Controlled Experimental Study.

BACKGROUND: First responders, such as firefighters, experience significant mental health issues due ...

A novel statistical framework for quantifying risks and benefits of AI automation in screening mammography.

AI has been proposed as a triage or "rule-out" device to reduce radiologist workload, but it is pres...

Deep Learning-Based Prediction of Trabecular Bone Mineral Density From Lumbar CT: A Superior Alternative to DEXA in Hyperostosis.

Study DesignRetrospective Cohort Study.ObjectivesThis study explores using deep learning to predict ...

Deep learning model for body weight estimation from computed tomography scout images incorporating sex and height.

Accurate body weight measurement is essential for determining the appropriate dose of contrast agent...

A physics-informed hybrid ML framework for pore pressure and fracture gradient prediction in carbonate reservoirs.

Accurate prediction of formation pore pressure and fracture gradient is essential for safe mud-weigh...

Exploring public information needs on resuscitation: an artificial intelligence-assisted content analysis of questions posted online.

Evaluating the accuracy of ChatGPT model versions for giving care-seeking advice.

BACKGROUND: Artificial Intelligence tools such as ChatGPT are increasingly used by laypeople to supp...

Integrative network toxicology and molecular docking preliminarily explore the potential role of polystyrene microplastics in childhood obesity.

Childhood obesity is a severe global epidemic, and emerging evidence suggests environmental pollutan...