AI to Predict Acute Kidney Injury Before Doctors
Artificial Intelligence holds a huge potential to benefit the society and a glimpse of this can be seen in the prediction of the risk of a disease that kills nearly 2 million people worldwide every year.
Researchers at Google’s DeepMind Health have given a shape to an AI that can identify symptoms of acute kidney injury (AKI) 48 hours before doctors, using inputs such as blood tests, heart rates and blood pressure.
"The research shows that the AI could accurately predict AKI in patients up to 48 hours earlier than it is currently diagnosed," said the researchers at Google-owned DeepMind. "Importantly, the model correctly predicted 9 out of 10 patients whose condition deteriorated so severely that they then required dialysis. This could provide a window in the future for earlier preventative treatment and avoid the need for more invasive procedures like kidney dialysis."
They also added that, “the model could also be used in the future to generalize to other major causes of diseases and deterioration such as sepsis, a life-threatening infection."
DeepMind analyzed the health records of 700,000 patients, as more than 100 VA hospitals participated in the study and personal details such as names or social security numbers were not part of the study, so as to keep patient’s privacy in mind.
The goal of this development is to ultimately boost patient care by using digital tools and bring down the health care costs and shift from reactive to preventative models of care.