Émilien Arnaud

Émilien Arnaud serves as a Lecturer-Researcher at Université de Picardie Jules Verne's Faculty of Medicine and Hospital Practitioner in Emergency Medicine at Amiens-Picardie University Hospital. His dual academic-clinical appointment positions him at the critical intersection of artificial intelligence development and frontline emergency care delivery.

Dr. Arnaud's research focuses on predictive modeling of patient pathways in emergency settings, with particular expertise in:

• Explainable AI systems for clinical decision support
• Natural language processing of triage documentation
• Missing data completion methodologies in healthcare datasets
• Ethical implementation frameworks for emergency medicine AI

His publication record demonstrates consistent output in high-impact venues including npj Digital Medicine, European Journal of Emergency Medicine, and IEEE conferences. Recent work examines large language models' ethical challenges in emergency contexts and develops validation protocols measuring AI consistency against medical expertise.

Professional contributions include service on the Innovation Board of the French Society of Emergency Medicine, where he shapes national AI implementation guidelines. His doctoral research (2024) established the 3P-U framework for predicting emergency department patient trajectories.

Dr. Arnaud's clinical-academic integration enables direct translation of research into practice, with current projects addressing obstetrical emergency prediction, pandemic-era patient flow management, and international validation of AI triage systems. His work consistently emphasizes human oversight mechanisms and clinician-AI collaboration protocols essential for high-risk emergency settings.