Augmenting Health Data Using AI

We know that AI can significantly enhance the collection and utilization of health data in a variety of ways, including in predictive analytics, remote monitoring, diagnostics and drug development. But there is a lot to consider when applying artificial intelligence to your data, including:

Data quality: High-quality, diverse datasets are essential
Privacy: Data is sensitive and subject to strict privacy regulations
Interoperability: Data is often siloed across different systems and formats
Collaboration: AI developers need to collaborate closely with healthcare professionals

Join SAVE DATA at our upcoming seminar to hear about these challenges and potential solutions.

12.00-13.00 Registration & lunch

13.00-14.00 Starting with AI: Overcoming barriers to implementation
– Willemien Laenens, Knowledge Centre Data & Society / AI Blind Spots in Healthcare
Introducing a card set that helps care professionals avoid replicating societal biases and structural inequalities
in the design, development and implementation of AI systems
– Gokhan Ertaylan, Vito / From Lab to Clinic: Accelerating AI’s Journey in Healthcare
The transformative journey of AI in healthcare, from initial conception to full clinical deployment

14.00-15.20 Applying AI best practices
– Lorin Werthen-Brabants, imec / Trustworthy ML for Healthcare: Challenges and Developments
Key challenges to ensuring TML in healthcare settings, such as data privacy, algorithmic bias and model interpretability, as well as recent strategies to overcome these challenges
– Evelyn Verlinde, Leadlife
There will be a 20-minute break at 14.30

15.20-16.30 Ensuring continuity of AI applications
– Katrien Verbert, KU Leuven / Bridging the Gap: Human-Centered Explainable AI (XAI) in Healthcare
Explainability methods that are tailored to the needs of healthcare professionals and patients, as well as the results of user studies that investigate how such explanations interact with personal characteristics, such as expertise and need for cognition
– Jonas De Vylder, Barco / Keeping AI-powered Medical Devices Safe and Effective
Regulatory hurdles of AI-powered medical devices, including AI’s ability to learn and adapt and methods to ensure that AI-based tools reach clinicians wihtout compromising patient well-being

16.30-17.30 Networking reception