AI imaging database helping to improve coronavirus care

NHSX has brought together over 40,000 CT scans, MRIs and X-rays from more than 10,000 patients across the UK during the course of the pandemic.

Access to this National COVID-19 Chest Imaging Database (NCCID) has now been extended to hospitals and universities across the country who are using the images to track patterns and markers of illness. The database can speed up diagnosis of coronavirus, leading to a quick treatment plan and greater understanding of whether the patient may end up in a critical condition.

For example, clinicians at Addenbrooke’s Hospital in Cambridge are developing an algorithm based on the NCCID images to help inform a more accurate diagnosis of patients when they present to hospital with potential coronavirus symptoms and have not yet had a confirmed test. Using visual signatures of the virus, as they appear in chest scans, they are able to compare the patterns in the patient’s imaging with those seen previously in the NCCID to get a more accurate diagnosis and prognosis.

Health Secretary Matt Hancock said: “The use of artificial intelligence is already beginning to transform patient care by making the NHS a more predictive, preventive and personalised health and care service. It is vital we always search for new ways to improve care, especially as we fight the pandemic with the recovery beyond. This excellent work is testament to how technology can help to save lives in the UK.”

The NCCID is one workstream taken forward by the NHS AI Lab at NHSX. The NHS AI Lab has also set up and launched a £140 million AI award this year in collaboration with the Accelerated Access Collaborative (AAC) and National Institute for Health Research (NIHR), which aims to bring the benefits of AI technologies to patients and staff across health and care. Initial bids were awarded to 42 organisations in September 2020 with a further round of bids closing last month.

Dominic Cushnan, head of AI Imaging at NHSX, said: “We are applying the power of artificial intelligence to quickly detect disease patterns and develop new treatments for patients. There is huge potential for patient care, whether through quicker analysis of chest images or better identification of abnormalities. The industrial scale collaboration of the NHS, research and innovators on this project alone has demonstrated the huge potential and benefits of technology in transforming care.”

Led by NHSX, the NCCID is a collaborative effort with the British Society of Thoracic Imaging (BSTI), Royal Surrey NHS Foundation Trust and Faculty, a London-based AI specialist. All of the scans in the library are stripped of any identifying patient details by each hospital trust before they are submitted to the national collection, ensuring researchers are only able to access pseudonymised information.

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