Research Assistant

The RA Will Be Responsible ForCoordinating the write up of this dataUtilising the outputs of this to apply for a future research grantAssist with setting up of this model in other centres once readySystematic literature reviewCoordination of group discussions and interviews - The RA will work with GSTT AI team to develop this aspect for publicationAssessing feasibility for integration with current UK-wide models of careWorkstream 1Using machine learning (ML)-driven Urology Triage Platform (UTP) to help address the increased Urology referrals of an ageing population directly addresses two of the industry research grand challenges of AI -supported initiates and innovation to support an ageing population and is consistent with the NHS long term plan pledge of ‘digitally enabled’ outpatient care becoming mainstream.

Our previous work with Demdx has demonstrated a ML technical and clinical Urology Triage Platform (UTP) with developed ML algorithms to optimise clinical pathways can be potentially trained to a range of supervised learning models using a combination of SNOMED symptoms and anonymised past medical records as the independent variables and the diagnosis as the dependent variable. Workstream 2: Understanding Barriers to AI CareGuy's and St Thomas' renal and transplant service is a centre of excellence for the treatment of kidney disease.

Clinical services are centred at Guy's with outreach services offered on a number of sites in south east London and Kent. We offer treatment at all stages, including: early diagnosis, care for advanced kidney disease, including dialysis, kidney transplantation and end of life care. We have the largest and most active living kidney donation programme in the UK. Urology is a surgical speciality, covering the diagnosis and treatment of disorders of the kidneys, ureters, bladder, prostate and male reproductive organs. We deliver various types of research studies in the directorate. For further details / informal visits contact: Name:

Professor Tet Yap Job title: Professor of Urology Email address: tet. yap@nhs. net