An app that uses artificial intelligence to recognise a woman's risk of complications of pre-eclampsia has been successful in the latest round of the Artificial Intelligence in Health and Care Award.
The project, spearheaded by Professor Peter von Dadelszen, plans to combine the existing PIERS (Pre-eclampsia Integrated Estimate of Risk Score) tools; miniPIERS and fullPIERS; together with AI into an app to calculate an individual woman's risk of the complications of pre-eclampsia, including following birth.
panPIERS was one of 38 projects to receive the funding, which was announced by Matt Hancock last month. The AI Award is making £140 million available over four years to accelerate the testing and evaluation of artificial intelligence technologies which meet the aims set out in the NHS Long Term Plan.
Professor von Dadelszen states,
Using the power of AI to update and link the PIERS models in this way will enable individualised care of women whose pregnancies are complicated by high blood pressure, wherever they interact with their own health system, whether in antenatal clinic or on delivery suite, and wherever they live in the World."– Professor von Dadelszen
The AI Award is one of the programmes that make up the NHS AI Lab, led by NHSX and delivered in partnership with the Accelerated Access Collaborative (AAC) and National Institute for Health Research (NIHR).
Dr Indra Joshi, Director of AI, NHSX, said:
With this latest round of AI Award winners, we now have an incredible breadth of expertise across a wide range of clinical and operational areas. Through this award, King's College London will be at the forefront of applying artificial intelligence in new ways to transform health and care."– Dr Indra Joshi
Watch the Secretary of State announce the round 2 winners of the AI in Health and Care Award:
