How will artifical intelligence change our health services?

With increasingly advanced technologies and algorithms, healthcare is on the cusp of a revolution that could improve diagnosis, treatment and patient care in ways we can barely imagine. How will this shape the future of healthcare, and what preparations do we need to make to integrate these technologies responsibly and effectively?

Webinar: Artificial intelligence in health - What's on its way in?
Michael Riegler researches how artificial intelligence can improve diagnostics and treatment in clinical settings.
It costs an insane amount of money to train an AI model from scratch. It doesn't make sense for everyone to train their own model. We need to share the big models and do transfer learning, which is much cheaper.

Artificial intelligence (AI) is developing rapidly, also in healthcare. In this webinar, we ask the following questions.

  • How do we ensure that artifical intelligence gives us the correct answers?
  • Which ethical and privacy concerns are relevant for artificial intelligence in health?
  • How do we ensure that patients and health personnel get the most out of the technology?

Generative AI models, which can analyse text, images, audio and video, give us the opportunity to transform diagnosis, treatment and patient care. These models can offer more precise and holistic solutions, but this will require us to adapt working methods, standardise processes and develop clear guidelines. Transparency and reproducibility are key principles that must be followed. Infrastructure is another key factor. To capitalise on the potential of AI, we need to research how best to integrate these models into existing healthcare systems.

Michael A. Riegler is a professor at OsloMet and Head of AI Strategy at SimulaMet. With extensive experience in artificial intelligence and health, he has contributed to numerous research projects and publications focusing on the application of advanced AI technologies in the health sector. His work includes the development of new methods for data analysis, model training, and implementation of AI solutions that can improve diagnosis and treatment in clinical settings. Riegler is known for his ability to combine theoretical research with practical applications, making him a leading expert in the field.


You can download the podcast to your mobile on Apple Podcasts, Spotify or Podbean. Search for ‘Norwegian Centre for E-health Research’.