Human-centric AI for medical imaging

The human-centric AI for medical imaging working group aims to build a critical mass to focus and drive research funding and impact cases in the field of machine learning, deep learning and AI (Artificial Intelligence) in medical imaging.

This cross-cutting group will foster novel RD&I (Research Development and Innovation) collaborations with partners in industry, the public sector, and leading academic institutions and policymakers.

AI (Artificial Intelligence) promises to transform areas of health and care. The problems that AI tries to solve are associated with big quantities of healthcare data which are too large for humans to analyse effectively but that an AI model can learn from. The use of AI for medical imaging is undergoing extensive evaluation with AI models showing impressive accuracy and sensitivity in diagnostic imaging in particular.

The development, validation, commissioning and adoption of AI based solutions for healthcare application is a complex matter which is arguably still to be realised.

Co-chairs: Dr Emiliano Spezi, Dr Hantao Liu and Dr Marco Palombo.