Challenges in implementing AI in the healthcare ecosystem
Artificial Intelligence (AI) is increasingly present in our society and also has more and more applications in the medical world. In this master class, we will discuss the challenges and possible risks of AI applications in healthcare. As a decision-maker, medical or technology expert, you will be given the necessary tools to engage in dialogue and address common challenges in developing and implementing AI in the sector. Moreover, after attending this Masterclass, you will have the necessary insights to effectively and safely engage with AI tools in your clinical environment.
Practical information:
Leertraject
Want to register?
- Register until: 23 May 2023
- Price: €500 excl. btw | registration for one day: €300 | PhD students: €300 / €200
Georganiseerd door:
- Potential AI errors and patient harm
- Misuse of AI tools due to limited knowledge among clinicians and citizens, among others
- Bias in AI and the continuation of existing inequalities
- Lack of transparency
- Vulnerability to hacking and data privacy breaches
- Gaps in accountability
- Implementation obstacles
Programme
Day 1
9 May 2023
9h30 Registration and reception
10h00 AI research in healthcare - Liesbet Peeters (UHasselt & Flemish AI research programme)
10h30 The algorithms behind AI - Dirk Valkenborg (UHasselt & Flemish AI research programme)
11h30 Break
11h45 How can we understand AI? The importance of Explainable AI - Robin Schrijvers & Sam Van Rijn (PXL)
12h45 Lunch break & demo market for developers
13h45 The importance of clinical validation - Noella Pierlet (ZOL)
14h15 TBD
15h15 Break
15h30 Evaluation methods for AI in healthcare - Tina Hernandez Boussard (Stanford University)
Day 2
23 May 2023
9h30 Registration and reception
10h00 The possibilities of AI in healthcare - Isabelle François (Health House)
10h30 Liability issues concerning AI in Healthcare - Sofia Palmieri & Tom Goffin (UGent)
11h30 Break
11h45 How to deal in practice with the implementation of a decision support tool - Think3Lab UHasselt
12h45 Lunch break
13h45 The importance of data management and data sharing - Hans Constandt (Belgian Health Data Authority)
14h45 Break
15h00 A roadmap towards Ethical & Trustworthy AI - Mieke De Ketelaere (imec, Vlerick)
16:00 Impact of AI on patient-doctor relationship - Brent Mittelstadt (Oxford University)
Target audience
In this masterclass we aim to bring together all the stakeholders involved in the process of implementing AI in the healthcare workflow.
Medical experts
- Clinical experts, specialists
- Health information & technology experts
- End-users (doctors)
- Researchers in Health and Life Sciences
Data and AI experts
- Data Science Teams
- Developers of AI tools
- Researchers in AI and Data Science
Decision makers
- Hospital administrations
- Regulatory authorities
- Government
Want to get inspired first?
Want to know more on how AI kan provide support in healthcare? Check these free online courses: