Research never stops. Current frontier work combines imaging, genomics, pathology and real clinical data into multimodal AI that sees the whole patient rather than a single exam.
Other directions are just as promising: models that personalise screening strategies in real time, digital twins of patients to test treatments before they are given, and generative models that create realistic synthetic data to train more diverse, robust AI.
Frontiers being explored
- Multimodal models integrating imaging, genetics and history
- Digital twins to simulate treatment outcomes
- Synthetic data for more diverse training sets
- AI-designed clinical protocols