Break out session on AI and Health Data 2024
Chairs of the session
Dr Daniel Lundqvist, Karolinska Institutet
Erich L. Harnisch, Mayo Clinic
Venue morning sessions: Atrium, Nobels väg 12b, Solna
Venue afternoon session: 507, Aula Medica
Zoom link Wednesday afternoon:
https://ki-se.zoom.us/j/69713690028?pwd=CmmXlAsHkGPX36hIBeBL1r2Gfr0c6s.1
Zoom link Thursday afternoon:
https://ki-se.zoom.us/j/61612423634?pwd=dsRsyMmQvbKlwCLMCHGv5Wrh4aLbDD.1
Welcome! Presentation: Transforming to the new opportunities and challenges regarding sharing of health data
Daniel Lundqvist
Introduction: The European Health Data Space: A new model for datasharing within EU
Clara Hellner
Accelerating AI in the practice
James Buntrock
The Karolinska University Hospital platform for primary use of health data.
Patrik G Hemming
The Karolinska University Hospital platform for secondary use of health data.
Marcus Merz
Joining forces to develop structured healthcare data.
Jonas Molander
Panel discussion
Lead by Clara Hellner
Closing remarks
Daniel Lundqvist
Opening agenda: This HYBRID session focuses on the development, training and validation of different AI models
Daniel Lundqvist
Zoom link to this session: https://ki-se.zoom.us/j/69713690028?pwd=CmmXlAsHkGPX36hIBeBL1r2Gfr0c6s.1
Introduction
Eric Harnish
Generative AI: Case Studies of Clinical and Research Applications of ChatGPT (GPT-3.5/4)
Rahul Kashyap
MedBench study - a comprehensive benchmark dataset of fictional Electronic Health Records (EHRs)
Max Gordon
Break
Towards creating a high-resolution multi-modal model for individualized management in rheumatoid arthritis
Shant Ayanian
The opportunities and challenges of foundation models in healthcare
Fredrik Carlsson
The Cancer Histopathology IMage Epidemiology project (CHIME) - AI-based precision diagnostics
Mattias Rantalainen
Break
Panel Discussions
All, led by Harnisch
Closing remarks
Daniel Lundqvist
Opening agenda: This IRL session focuses on Home Care, and how that field relates to health data sharing and AI
Daniel Lundqvist
Introduction
Jan Andersson
The multifaceted application of AI and ML in accelerating home-based hospital care
Michael Maniaci
The best ability is availability: How does Karolinska and Region Stockholm plan to meet the challenges of tomorrow
David Conrad
Break
The hospital at home Do we need it? How do we know?
Max Bell
Panel discussion
All, lead by Jan Andersson
Closing remarks
Jan Andersson
Opening agenda: This HYBRID session focuses on the conditions that drives and shapes collaborations on and implementation of AI and health data
Daniel Lundqvist
Zoom link for this hybrid session: https://ki-se.zoom.us/j/61612423634?pwd=dsRsyMmQvbKlwCLMCHGv5Wrh4aLbDD.1
Introduction
Jerrold M. Jackson
Automated algorithms and AI for surveillance of adverse events – Data Driven Patient Safety
Pontus Naucler
The pathway of AI-models from beginning to clinic
Dawid Rutkowski
Data sharing models in a European context
Rikard Lövström
Boosting the implementation of AI in healthcare - TEF-Health
Johanna Furuhjelm
AI in healthcare: what are the companies working on?
Andreas Gerhardsson
Break
Panel discussion
All, led by Jackson
Closing remarks
Daniel Lundqvist