ARTiD (Artificial Intelligence for Dementia)
University of Bath: Arya Shabani
University of Bristol: Jasmina Stevanov (PI)
University of Exeter: Dibyendu Dutta, Garan Jones
By 2025, it’s estimated that over one million people in the UK will have a diagnosis of dementia and almost all of us will know someone living with the condition. Globally, 152 million cases are expected in 2050, having a multifaceted impact on health care, economy and society.
In recent years, remote healthcare has become a top priority within NHS England. The only ongoing digital healthcare program in the South West region, known as “Dorset’s digital access to service at home”, has demonstrated a remarkable 55% reduction in cost of medical services provided to hypertension patients since its inception in July 2022. Considering the rising risk of dementia spectrum diseases and the advantage of remote healthcare platforms, this project focuses on understanding the needs of stakeholders and requirements for development of a digital platform for remote early detection of dementia by employing various data modalities and machine learning techniques. Ultimately, our aim is to pave the way for creation of personalised, and cost-effective remote diagnostic tools that can benefit ongoing programs and studies e.g. NHS innovative collaboration for digital health.