📋 Tender Overview
Funded Value7843814Funded PeriodApr 19 - Sep 27FunderEPSRCProject StatusActiveProject CategoryTraining GrantProject ReferenceEPS0232831The UKRI CDT in Artificial Intelligence AI for Healthcare will be the worlds leading centre for PhD training of the next-generation innovators in AI applied to Healthcare. There is a unique role for AI in healthcare by providing more accurate decisions faster while reducing cost and suffering across society. AI in healthcare needs and drives current AI research avenues such as interpretable AI privacy-preserving learning trust in AI data-efficient learning and safety in autonomy. These are key due to the immediate impact on life and health for users depending on AI for healthcare support. Healthcare applications require many AI specialists that can apply their skills in this heavily regulated domain. To address this need we propose to train in total 90 PhD students including 16 clinical PhD Fellows in five cohorts of 18 PhDs which will establish a new generation of cognitively diverse AI researchers with backgrounds ranging from computer science psychology to design engineering and clinical medicine.The CDT focus areas arise from our early engagement in AI research and collaboration with clinicians partnered technology companies and patient organisations reflecting the healthcare areas of the UK industrial strategy. The Centre is grouped into 4 complementary healthcare themes and 4 cross-cutting AI expertise streams. The 4 healthcare themes are1 Productivity in Care making healthcare provision more efficient and effective by increasing the productivity of doctors and nurses2 Diagnostics Monitoring developing AI-based diagnostics monitoring that can detect disease earlier and monitor health with more precision3 Decision support systems AI-based decision support systems that will support e.g. freeing up doctors time to focus on the patient or can accelerate the development of novels drugs and treatments and empowering patients to be active agents within the decision-making by explaining and4 Biomedical discovery driven by AI that accelerates drug discovery and linking genome microbiome and environment data to discover novel disease mechanisms and treatment pathways.The themes are linked by 4 cross-cutting AI expertise streamsa. Perceptual AI technology enables to perceive structure and recognise from sensory data clinically relevant information.b. Cognitive AI technology mimics the reasoning i.e. cognitive process of healthcare specialists.c. Assistive AI technology supports clinicians with decision making as well as patients directlyd. Underpinning AI technologies are driving factors for clinical and patient-focused AI innovations and will be enabling AI methodologies to operate beyond the currently possible.Our unique cohorts will benefit from an integrated training program and co-creation process with industry and patient org
