Short overview over possibilities and challenges of using artificial intelligence in health care. Presentation from the MultiHelix ThinkTank, May 14 2020.

3. News articles
Twitter messages
Government/NGO reports
Public mailing lists
Travel patterns
Real-time health care data
Self-reporting apps
Fitness trackers
Web searches
Test results
Emergency calls
…
Earlier and more
accurate
predictions

4. Patient history Examinations Diagnosis Treatment

5. Structured patient
history
Automated
diagnosis
Treatment
recommendations
Staff/resource
allocation
Surgical robots
Therapy
development
Virtual health
assistants

6. Research
COVID-19 text mining
Epidemiology
Analysis of radiology images
Analysis of pathology images
Patient-organ matching
Diabetes treatment
Surgery recommendation
Intensive care optimization
…
http://ai.lu.se/

9. Data Results

10. Take home: AI is here – we should be ready
• AI systems will be broadly used in health care
• LU has a strong interdisciplinary AI community: AI Lund
• How can Sweden catch up in the AI race?
• How can we ensure AI systems are secure, ethical and sustainable?
• How can we raise AI competency?