Latest AI and machine learning research in emergency medicine for healthcare professionals.
Hybrid mechanistic models, physical priors with learned residuals, promise to reduce the data requir...
Background: Large language models (LLMs) are increasingly used in medical education and clinical dec...
Emergency department (ED) triage assigns patients a five-level Emergency Severity Index (ESI) score ...
Severe fetal growth restriction (sFGR) affects 5 to 10% of pregnancies worldwide and is a major cont...
The rapid rise of large language models (LLMs) and foundation models has accelerated efforts to buil...
Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can...
Accurate and consistent Emergency Severity Index (ESI) assignment remains a persistent challenge in ...
Background & Aims: Accurate assessment of clinical malnutrition using anthropometric and functional ...
Background: Prognostication after moderate-to-severe traumatic brain injury (TBI) rarely captures lo...
Background Outcome after stroke varies according to stroke subtype by location, but healthcare syste...
Self-supervised learning in healthcare has largely relied on invariance-based objectives, which maxi...
Temporal resolution of physiological monitoring in intensive care varies widely across healthcare sy...
Background: The urgent care departments in Europe face a structural paradox: accelerating digitalisa...
Designing reward functions remains a central challenge in reinforcement learning (RL) for healthcare...
Current video benchmarks for multimodal large language models (MLLMs) focus on event recognition, te...
Current operational Earth Observation (EO) services, including the Copernicus Emergency Management S...
Patient healthcare utilization consists of irregularly time-stamped events, such as outpatient visit...
Healthcare system performance evaluation is constrained by episodic performance indicators and proce...
Innate immune cells contribute to both secondary brain injury and repair following intracerebral hem...
Type A Aortic Dissection (TAAD) is a life-threatening cardiovascular emergency that demands rapid an...
Purpose: Early recognition of deterioration in patients with suspected infection at the emergency de...