University of Liverpool Doctoral Network in AI for Future Digital Health

The benefits that Artificial Intelligence (AI) can bring to Health Care are extensive. Examples include: point of care diagnosis, support for medical image analysis, speeding up the drug discovery process, analysis of infectious disease spread and patient monitoring through wearable devices.

The University of Liverpool Doctoral Network in AI for Future Digital Health is directed at creating and maintaining a community of AI health care professionals that can apply the latest research within AI to Health Care. The vision is that of a world-class centre providing high-quality doctoral training within the domain of AI for Future Digital Health.

Each available PhD project has been carefully co-created in collaboration with a health provider and/or a healthcare commercial partner so that the outcomes of the PhD research will be of immediate benefit. The network will be providing students with training, culminating in a PhD, in a collaborative environment that features, amongst other things, peer-to-peer and cohort-to-cohort based learning. On completion students will be well-placed to take up rewarding careers within the domain of AI and Digital Health.

 

Current PhD projects available to applicants: 

Application of Artificial Intelligence systems to develop novel diagnostic and prognostic tools for hepatocellular carcinoma

Using AI to leverage new forms of data in modelling cycling behaviours in the LCR

Machine Learning of Epidemic Models

An intelligent imaging technology for automatic characterisation of the refractive power of human eye

Deep Feature Learning for Distributed Rehabilitation Robots with Wearable Tactile Sensing

Research Objects for Palliative Care

An Intelligent Assistant for Medical Doctors when Prioritising Pathology Results

Machine Learning for the next generation of paediatric wheelchairs

The epidemiology of disease clusters in adults with multimorbidity

High-precision MRI-linac radiotherapy of lung cancers: Using AI to rapidly estimate whole tumour contours from pre-treatment magnetic resonance 4D-images and real-time orthogonal slice-pair images