A new technology developed by Tel Aviv University, in collaboration with Tel Aviv Sourasky Medical Center, uses artificial intelligence to identify patients at risk of developing a serious disease in its early stages.
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The new technology focuses on bloodstream infections, which are a leading cause of death worldwide.
The researchers developed an AI program to study the electronic medical records of some 8,000 patients at Tel Aviv Sourasky Medical Center with bloodstream infections. The results of the study were published in the journal Scientific Reports.
After analyzing the data and medical history of each patient, the program was able to automatically identify risk factors from the medical records at a success rate of 82%.
"We worked with the medical records of about 8,000 patients with bloodstream infections between the years 2014 and 2020, during their hospitalization and up to 30 days afterward, regardless of whether the patient died or not," explained Prof. Noam Shomron.
"We are now working with medical staff to understand how this information can be used to categorize patients based on the severity of their infection," he added.
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Once the patient's data was entered, the algorithm was able to predict the course of the disease, suggesting that in the future, it will be possible to categorize patients in advance based on their potential health risks.
This article was first published by i24NEWS.
