ICAI DAY: Healthcare and AI

On the 1st of November, ICAI is organising the ICAI Day Autumn Edition. This hybrid event will take place in Nijmegen, at Radboud University and online. The event theme is AI and Healthcare, where we will focus on the technical aspects of AI and how AI can contribute.

Event details 

• Date: November 1, 2023
• Time: afternoon
• Location: Radboud University, Elinor Ostromgebouw, Heyendaalseweg 141, 6525AJ Nijmegen and online 

Registration

If you wish to attend the event please register using one of the following links:

• to attend the ICAI Day including the round table discussions please use the links found under each table description below.
• to attend the ICAI Day without participating in the round table discussions (both for online and in person attendance), register here.

Programme

12:00 – 13:30 Round Table Lunch Discussion
13:30 – 13:40 Presentation on Overview of all ICAI health labs
13:40 – 14:05 Nijmegen ICAI Lab presentation
14:05 – 14:30 Nijmegen ICAI Lab presentation
14:30 – 15:00 Break & poster/ demo presentation
15:00-15:20 Brightlands Smart Health Lab presentation
15:20-15:40 ICAI Lab presentation
15:40-16:00 AI Challenges and frameworks – James Meakin
16:00 – 16:05 Closing
16:10 – 17:00 Borrel/ Networking & posters

Round tables 

The event will start with round table discussions. To attend the event in person, please register at one of the following tables:

• Table 1: Ethics in Healthcare
  • A discussion on the moral and philosophical considerations surrounding medical practices, patient care, and decision-making in healthcare
  • Register here.
• Table 2: Data Governance
  • Exploring the strategies and policies for collecting, managing, and protecting healthcare data
  • Register here.
• Table 3: Implementation of AI in Healthcare
  • Discussion on challenges and opportunities in integrating AI into various aspects of healthcare
  • Register here.
• Table 4: Foundation models, e.g. LLMs for medical text
  • Discussion on the use of large language models (LLMs) like ChatGPT  in understanding and generating medical text, and their implications for healthcare
  • Register here.
• Table 5: Explainable AI
  • Discussing methods and techniques to make AI systems in healthcare transparent and interpretable, ensuring that decisions made by these systems can be understood by both professionals and patients
  • Register here.
• Table 6: Legal aspects of AI in healthcare
  • Analyzing the legal and regulatory landscape governing the deployment of AI technologies in healthcare, including issues related to liability, privacy, and compliance
  • Register here.
• Table 7: Safety of AI in Healthcare
  • Addressing the importance of safety measures, validation, and monitoring to minimize risks associated with AI applications in healthcare, ensuring patient well-being
  • Register here.