King's College Gets £80M for Revolutionary AI Tech Research

Scientists from the Department of Informatics and School of Cancer and Pharmaceutical Sciences have been selected to take part in one of nine new artificial intelligence research hubs set up to empower researchers to tackle society's pressing challenges with the help of AI.

Established in partnership with the University of Edinburgh and universities across the UK, the Causality in Healthcare AI with Real Data (CHAI) Hub will use funding from the Engineering and Physical Sciences Research Council (EPSRC) to explore how AI can improve healthcare outcomes for patients.

AI has increasingly been deployed in healthcare and hospital settings, playing a key role in diagnosis and even in patient-facing roles with vulnerable young people. However, current systems that are used in situations like these are typically narrow in scope.

These types of software focus primarily on revealing correlations between the input data they have been trained on, e.g. images of early onset breast cancer, and a variation of different outputs, like assessing if someone has a tumour. What they don't know is the causal relationship between interventions and outcomes, whether a particular type of medication or surgery is likely to remove the negative impact of that tumour for an individual with a particular medical history.

By developing novel methods to identify and account for causal relationships in complex data sets reflective of an individual's current medical status, CHAI Hub hopes to predict outcomes of medical treatments and help build personalised treatments for patients.

Dr Hana Chockler, Reader in Computer Science and King's lead in the hub, explains "It's clear that healthcare systems are dealing with resource constraints on an enormous scale, and while the AI integration in the healthcare system to date has promised to ease some of that, it's not moving fast enough.

"By implementing causal AI we can provide an expert hand to front line clinicians in their day-to-day. We can present a formal picture of the effects of certain kinds of treatment on a patient, assess the likelihood of specific outcomes, and even estimate potentially dangerous 'what-if' scenarios. A robust, safe and trusted AI system that can tackle early prediction, diagnosis and disease prevention could transform medicine, and that's what we aim to do with CHAI Hub."

While healthcare is a uniquely challenging environment with its complex and often unstructured sets of data from patient records and on-ward diagnoses, the CHAI hub team hope that the causal AI solutions they develop will be generic and therefore transplanted into areas like economics and finance with minor modifications.

In addition to CHAI Hub, five hubs will explore how AI can be applied to accelerate the use of AI in areas such as cybersecurity and the development of electronics, while three of the hubs will address the mathematics and computational research which is foundational to creating new AI systems.

Professor Charlotte Deane, Executive Chair of EPSRC, said "Artificial intelligence is already transforming our world. EPSRC supports world-leading research to unlock its potential and ensure it is developed and used in an ethical and responsible way. Long-term research funding has led to revolutionary advancements that have made AI a powerful tool for many applications.

"These hubs will deliver revolutionary AI innovations and tools in sectors from healthcare to energy, smart cities and environment. They will achieve this by solving key challenges and improving our understanding of AI helping to drive the increased productivity and economic growth promised by this technology."