British researchers are working on a new way to recognize urinary tract infections (UTIs) using artificial intelligence and robots.
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Everything from urinary pain and incontinence to temperature changes and confusion can indicate a UTI, and patients awaiting diagnosis can progress toUTIs are particularly in nursing homes and hospitals because of catheter use, and they are one of the most common hospital-acquired infections.of women will get a UTI during their lifetime. Women are much more likely to develop UTIs than men because the females’ urinary tract is close to the anus.
The project will place sensors and socially assistive robots with people living in care homes. The sensors will monitor potential signs of infections, including changes in walking function or sleep patterns. If the program’s AI-powered platform detects those signs, it will trigger interactions with the robot and, eventually, a clinician.
. Since lab results can take up to two days to come in, clinicians often start patients on antibiotics right away.
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