Workshop
From Aid to Ally: When Does AI help clinicians?
Tuesday 26 August 15.00
Organizer: Tareen Dawood, Technical University of Denmark
Artificial Intelligence (AI) holds immense potential to support healthcare, yet numerous challenges still impede full clinical deployment. This session presents concrete examples of how AI models can improve patient outcomes on one side, and reasons why clinicians should be prudent before using them on the other. Danish medical imaging community members will introduce current works, highlighting the impact of AI through the lenses of healthcare professionals, ethics, and machine learning researchers, focusing on two key themes: How AI can Improve Healthcare and Trust of AI.
Why is this of interest to the D3A community? Denmark’s healthcare system is advancing digitally towards careful integration of AI to improve diagnosis and treatment for better patient care. The workshop accompanies this process by bringing together clinicians and model developers for an exciting discussion: How can we develop AI methods that genuinely support doctors in delivering better patient care?
15:00: Welcome
15:05: From Models to Maternity Wards: Making AI in Preterm Birth Prediction Clinically Useful and Trustworthy
Dr. Emilie Pi Fogtmann Sejer, Rigshospitalet
15:20: Assessing and increasing trust in AI among patients and clinicians
Dr. Søren Dinesen Østergaard, Aarhus University Hospital
15:35: The role of explainability in AI-supported medical decision-making
Prof Anne Gerdes, University of Southern Denmark
15:50: Dangers of automation in the hospital
Dr Joris Fournel, Denmark Technical University
16:05: Panel Discussion: From Insight to Impact: AI for Healthcare Professionals
16:25-16.30: Closing comments
Introductory/Intermediate