9 projects secure funding through AI in Health and Care Award

The winners of the third competition of the Artificial Intelligence in Health and Care Awards, run by the NHS AI Lab in partnership with the National Institute for Health and Care Research and the Accelerated Access Collaborative, have been announced.

Nine projects will receive funding across phases 2, 3 and 4, as part of the latest round.

Phase 2 intends to support early stage concepts and prototypes, to support development and evaluation, including generated clinical safety and efficacy data. Phases 3 and 4, aims to support testing and further adoption across health and care, including helping technologies that have market authorisation already.

The projects include:

  • University Hospital Coventry and Warwickshire NHS Trust – £2,517,987
    The trust is leading a project to digitise 10 major NHS laboratories and create a hub containing images of patients’ cells.   The new funding would encourage monitoring of these images to pick up any indications of bowel cancer.
  • Royal United Hospitals Bath NHS Foundation Trust – £833,816
    The trust is using AI to improve diagnosis of lung artery blockages and high blood pressure, which results in breathing difficulties.
  • Mendelian Ltd – £1,430,848
    Mendelian is capturing disease features from electronic health records across a patient population, matching patients to published diagnostic criteria for hundreds of rare diseases.
  • Oxford Cancer Biomarkers Limited – £1,475,357
    This group is using AI to identify biomarkers – genes which may suggest a predisposition to certain diseases – in screening to help clinicians deliver personalised care to patients with colorectal cancer.
  • Icometrix – £1,417,658
    This company is developing a range of AI products to assist with the treatment and monitoring of neurological disorders such as brain trauma, epilepsy, stroke, dementia, and Alzheimer’s disease.
  • Cibiltech – £1,141,441
    Cibiltech is developing digital solutions for medicine in kidney transplants. Their AI-based algorithm helps surgeons to adjust specific treatments to improve patient outcomes, by predicting the outcome of a kidney transplant to aid decision making.
  • University of Bristol (Tommy’s App) – £1,869,493
    A consortium led by the University of Bristol has developed an online medical tool which is identifying pregnant women who are most at risk of giving birth prematurely or of developing complications that could lead to stillbirth.
  • Medtronic Limited – £2,450,694
    Medtronic is developing an AI-based medical device called GI Genius, which has been trained to process colonoscopy images and detect signs of cancer.
  • Ibex Medical Analytics Ltd – £1,542,993
    Ibex’s technology analyses images of tissue extracts and helps pathologists determine the presence of cancer, allowing them to complete recordings more quickly.

£1 million in funding has also been agreed to support evaluations of the technologies.