AI and cancer: from promise to practice

Artificial intelligence is changing how we detect, diagnose and treat cancer. Algorithms can now read mammograms, pathology slides and CT scans alongside clinicians, spotting subtle patterns early and helping specialists prioritise the most urgent cases. In treatment, AI supports more precise radiotherapy planning and helps match patients to therapies based on their tumour’s genetic profile. In research, it speeds up the analysis of large health datasets, a field where Norway’s registries and biobanks give us a unique advantage.

The real challenge is no longer whether the technology works, but how to put it to safe use in everyday care. That requires trustworthy data, clear regulation, clinicians who understand and trust the tools, and patients who are part of the conversation. It also requires the courage to change workflows, not just add new software on top of old ones.

AI in clinical practice
v/Peter Moll, AWS, Healthcare & Life Sciences 

TBA tittel
v/Andreas Kleppe, OUS

TBA tittel
v/TBA

Moderator: Nard Schreurs

This session is in cooperation with AWS