معرفی
Ellen Tolestam Heyman is a MD PhD Student Researcher at Lund University's Faculty of Medicine, Department of Emergency Medicine. She works clinically as a resident physician in the emergency department at Halland Hospital Varberg while conducting AI-focused research within the interdisciplinary AIR Lund program. Her work explores AI applications for improving diagnostic accuracy, mortality prediction, and resource allocation in emergency care.
Her research interests include:
- AI and machine learning for emergency medicine diagnostics
- Resource management optimization in acute care settings
- Clinical decision support systems
- Integration of ethical AI in healthcare
Research trends show focus on dyspnea diagnosis, triage efficiency, and predictive analytics using cross-sectional studies and deep learning models. Her work aligns with UN Sustainable Development Goals for healthcare quality and accessibility.
Scientific awards include multiple grants for AI-supported diagnostic systems (2021–2023). She actively contributes to academic discourse through presentations on AI's future in emergency medicine.
