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Anthony Cortez

2 accepted papers

2026

EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services

AAAI 2026technical

Emergency Medical Services (EMS) are critical to patient survival in emergencies, but first responders often face intense cognitive demands in high-stakes situations. AI cognitive assistants, acting as virtual partners, have the potential to ease this burden by supporting real-time data collection a

Cited by 0SourcePDFScholar
2026

Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering

AAAI 2026technical

Large language models (LLMs) have shown promise in medical question answering, yet they often overlook the domain-specific expertise that professionals depend on-such as the clinical subject areas (e.g., trauma, airway) and the certification level (e.g., EMT, Paramedic). Existing approaches typicall

Cited by 0SourcePDFScholar