Trustworthy AI in Medical Imaging

Trustworthiness is rapidly becoming a requirement of paramount importance for any real-life deployment of artificial intelligence (AI). The problem of Trustworthy AI in medical imaging raises a broad range of technical and societal questions, which require a strong interplay between communities to match methodological and technical advances with a better understanding of the ethical and legal implications of the deployment of IA in real life.

The recent EU High-level expert group on artificial intelligence identifies the following key components of Trustworthy AI: technical robustness, safety, accuracy, privacy, data governance, explainability and bias assessment.

The tutorial features a panel of experts in medical imaging, AI, cryptography, medicine, law and ethics, which will illustrate and discuss the current state-of-the-art and challenges for the development of Trustworthy AI in healthcare.