EUCAIM: integrating the AI for health imaging results into the European Cancer Imaging Initiative
Luis Marti-Bonmati, Valencia / Spain
1. To learn how a pan-European digital federated infrastructure of cancer-related images and data can be used for the development of AI tools toward precision medicine.
2. To appreciate the seamless access to de-identified, high-quality real-world data, to foster collaboration among clinicians, researchers, and innovators.
3. To understand how AI data-driven decisions can be designed in diagnosis and treatment.