Artificial Intelligence can predict acute kidney injury (AKI) 48 hours before it happens, according to new research.

DeepMind said that working alongside experts from the US Department of Veterans Affairs, it has developed the technology to predict the condition affecting 100,000 people in the UK every year.

The DeepMind team applied AI technology to a comprehensive de-identified electronic health record dataset collected from a network of over a hundred VA sites. They found that AI could accurately predict AKI in patients up to 48 hours earlier than it is currently diagnosed.

The model predicted nine out of 10 patients whose condition deteriorated so severely that they then required dialysis. This is important as it could provide a window for earlier preventative treatment and avoid the need for invasive procedures like kidney dialysis.

DeepMind also hopes that the system could be generalised to predict other major causes of disease and deterioration such as the life-threatening infection, sepsis. The system also shows clinicians how it reached its decision.

DeepMind has also announced a favourable evaluation of its mobile medical assistant, Streams, which has been trialled at Royal Free London NHS Foundation Trust and is able to use an existing AKI algorithm and flag patient deterioration.

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