Emilien Arnaud

Emilien Arnaud is a Lecturer-Researcher at Amiens-Picardie University, specializing in the intersection of Artificial Intelligence and Health Informatics. His clinical role as a Hospital Practitioner in Emergency Medicine informs his research focus on care pathway prediction and missing data completion in healthcare.

• Primary institution: Amiens-Picardie University
• Research domains: AI in emergency medicine, predictive modeling, NLP applications

His recent work explores explainable AI models for patient pathway prediction, large language model ethics in medical contexts, and NLP-driven admission predictions using triage notes. A systematic review of emergency AI missing data strategies (2023) highlights his methodological rigor.

Key article trends include:

• Emergency department workflow optimization
• Explainable AI for clinical transparency
• Missing data handling in health datasets
• NLP applications for triage automation
• Human-AI collaboration frameworks
• Ethical AI implementation in critical care

While no formal awards are documented in the provided materials, his collaborations span AI development, healthcare operations, and pandemic response systems.