EIBIR Session

EIBIR 8 - Transforming cardiovascular risk prediction with AI: from models to real-world impact with the Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases (AI-POD) project

March 5, 10:00 - 11:00 CET

5 min
Chairperson's introduction
10 min
From scan to score: developing AI models for cardiovascular risk prediction
  1. To learn about the potential of AI tools for improved obesity-related prediction of cardiovascular disease.
  2. To understand the process of building AI models for cardiovascular risk prediction.
  3. To recognise key considerations in training, validating, and interpreting AI-driven risk models.
10 min
Integrating AI into clinical practice: the AI-POD clinical decision support system
  1. To understand the clinical need for AI tools for clinical decision making for obesity-related cardiovascular disease.
  2. To learn about the potential and functionalities of the AI-POD CDSS.
  3. To understand how the AI-POD system supports personalised decision-making in cardiovascular care.
10 min
Real-world validation: early observations from the AI-POD clinical study
  1. To learn about the real-world application of the AI-POD tools.
  2. To appreciate the initial findings from the AI-POD clinical study.
  3. To learn about the performance and usability of AI tools in routine patient care based on early study outcomes.
10 min
Trust, adoption, and ethical considerations: preliminary results from the AI-POD stakeholder analysis
  1. To appreciate the early results of the AI-POD survey study on ethical and societal concerns and barriers towards AI-based decision-making and risk prediction in cardiovascular care.
  2. To understand stakeholder perspectives on AI's ethical, legal, and social aspects in healthcare.
  3. To learn about barriers and enablers to trust and adoption of AI systems among clinicians and patients.
15 min
Discussion