Artificial intelligence to predict kidney injury caused by burns

US researchers have developed a technique that uses artificial intelligence to identify kidney injuries caused by burns more accurately, thus saving lives.

The study was conducted by researchers at the University of California, USA, and published in the journal Burns scientific.

The researchers explained that acute kidney injuries, sudden renal failure or damage caused by fluid imbalance in the body, where many victims of burns from this situation, but early identification is still a challenge.

Acute kidney injuries usually occur during the first week of serious burns, especially during the first 24 hours of critical illness, and develop in about 30% of severe burns, with a mortality rate of 80%.

Doctors usually rely on traditional biomarkers such as serum creatinine, plasma and urine output for diagnosis, but these markers do not help diagnose acute kidney infections accurately.

Laboratory data
For a more accurate diagnosis of this condition, the researchers developed a model of artificial intelligence that predicts acute kidney injury faster and more accurately than ever before.

The model was tested using clinical laboratory data for 50 patients with severe burns. Indicators of creatinine and urine output were measured during the first 24 hours of exposure to fire.

The researchers found that artificial intelligence models predict acute kidney injury at 90 to 100 percent accuracy, compared with 80 to 90 percent by conventional methods.

The researchers also found that artificial intelligence technology predicted kidney injuries more quickly, only 10.8 hours after exposure to burns, compared to 42.7 hours for conventional methods.

"We have built a strong model for patients who can accurately predict acute kidney injury in a much shorter period, which makes it easier for service providers to shorten diagnosis time and give patients the necessary treatment as soon as possible," said Homan Rashidi, a co-author of the study.

He added that this model can be used in burns injuries caused by wars and military exercises, and contributes to the rapid transfer of patients to hospitals with better capabilities and devices to deal with acute kidney injuries.

Tina Palmeri, director of the Fire Verts Regional Center at UC Davis Medical Center in the United States, said the ability to predict acute kidney injuries caused by artificial intelligence burns is a potential breakthrough for burn centers.

"If we can say that the patient may have kidney injuries sooner, we can take measures to prevent them and save the patient's life."