Introduction

Artificial intelligence (AI) has enormous potential for transforming cancer diagnostics and enhancing clinical decision-making. The current state-of-the-art of AI systems and the challenges facing their routine implementation will be addressed including methodological aspects, incorporation into clinical workflows with particular reference to the role of blockchain technology, utilisation of AI for screening in population studies and for risk prediction. In addition, the exploitation of AI for data-driven processes such as radiomics and digital pathology will be discussed. An interactive session will highlight and explore the ethical dilemmas surrounding the use of AI in diagnostics.

Target audience

The target audience for this virtual conference consists of computational scientists, cancer researchers and clinicians, both senior and young investigators, that want to have a broad and detailed overview of the most recent advances in the field of AI in cancer diagnostics.

Topics to be covered

• AI methodology
• AI in clinical workflow
• Imaging - screening
• Risk prediction
• Deep Radiomics
• Digital Pathology
• Clinical decision support

Scientific Programme Committee

• Nandita de Souza, UK
• Horst Hahn, Germany
• Ritse Mann, Netherlands (Chair)
• Emanuele Neri, Italy
• Carolina Wählby, Sweden

Contact

If you have any queries that are not answered on this webpage, please contact us using the details below.

Jen Caddick
Virtual Events Officer
jennifer.caddick@eacr.org