New artificial intelligence (AI) may be able to identify and help reduce the rate of urinary tract infections (UTIs).
In an article in PLOS ONE, scientists at the University of Surrey in the U.K. say they have developed a technique to find hidden clues of these infections and used machine-learning algorithms to identify early symptoms. Typical signs of a UTI include blood in the urine, urinating more urgently or frequently than usual, and pain in the lower abdomen.
The clinical trial was actually part of a project to help health care professionals remotely monitor the health of people with dementia. The trial involved using a network of internet-enabled devices and monitoring sensors to collect patient data, which were then analyzed by machine learning. Any potential health problems were flagged for follow-up by the provider.
UTIs are one of the most common reasons people with dementia are hospitalized, so reducing infections is key.
Source: PLOS ONE