PART I: Introduction & Objectives

• Haridimos Kondylakis (ICS-FORTH)

- AI Chasm - Why Trustworthy AI matters today

FUTURE-AI Framework and Core Principles

• Haridimos Kondylakis (ICS-FORTH)

- The journey of FUTURE-AI - The future AI principles

Operationalisation of the principles

• Haridimos Kondylakis (ICS-FORTH)

- How to evaluate the FUTURE-AI principles - Technical and organizational implementation practices - Metrics and guidelines

Beyond FUTURE-AI principles

• Haridimos Kondylakis (ICS-FORTH)

Alignment with the EU AI Act and other guidelines.

Applying FUTURE-AI to a real-world scenario

• Haridimos Kondylakis (ICS-FORTH)

Interactive discussion

Live Q&A Session

Wrap-Up & Resources Key takeaways and recommended resources.

PART II: Introduction & Objectives

• George Ioannidis (ICS-FORTH)

- Cancer Basics - MRI Basics

Cancer imaging through MRI

• George Ioannidis (ICS-FORTH)

- Cancer imaging - MRI quantification

Machine Learning - Radiomics

• George Ioannidis (ICS-FORTH)

- From image to texture - Image pre-processing - ML pipelines - Explainability

Applications of Explainable AI in cancer

• George Ioannidis (ICS-FORTH)

- Prostate Cancer Aggressiveness prediction - Response to treatment of Breast cancer patients - IDH mutation prediction in Brain Cancer

Applying Explainable AI models in clinical practice

• George Ioannidis (ICS-FORTH)

Live Q&A Session

Wrap-Up & Resources Key takeaways and recommended resources.