As per the survey conducted Acute Kidney Injury (AKI) kills around 500,000 people in the US and 100,000 in the UK annually. The reason for these many deaths is that Acute Kidney Injury is not detected soon. The Acute Kidney Injury causes the build-up of waste in the blood, making it hard for the kidneys to balance fluid; the result is often a sudden failure or damage that occurs over a few hours or a few days. To detect this injury, the researchers are taking the help of Artificial Intelligence.
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Getting the right information about the right patient at the right time is a big problem and hence to solve this machine learning comes to rescue! The Alphabet-owned AI company named DeepMind has collaborated with the US Department of Veterans Affairs (VA) to develop an AKI prediction algorithm. The AI prediction algorithm can predict the presence of AKI up to 48 hours before it happens. DeepMind comes with a mobile assistant for clinicians which is known as Streams. The tested results show that, through the app, specialists reviewed urgent cases within 15 minutes as compared to several hours. The mobile assistant, Streams also helped in saving health care cost.
The combination of Streams and DeepMind ‘s new AKI detecting Algorithm can offer early detection. With the help of these tools, machine learning technology aims to advance medicine from a reactive model to a prevention-based approach.