The AI that detects intestinal diseases while recording the person in the bathroom
The Georgia Institute of Technology has shown progress in the detection of intestinal diseases watching people while they use the bathroom. All of this was given in a presentation at the 183rd meeting of the Acoustical Society of America.
Researchers aim to detect diseases such as anger using an algorithm artificial intelligence to control outbreaks of digestive diseases before they become a serious problem.
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what is cholera
To begin with, it is necessary to be clear about what this disease is like and what the symptoms are. Cholera is an acute diarrheal infection caused by ingestion of food or water contaminated with the bacillus (bacteria). Vibrio cholerae. It has a short incubation period, ranging from two hours to five days.
The bacterium produces an enterotoxin that causes a copious, painless, watery diarrhea which can quickly lead to severe dehydration and death if not treated promptly. Most patients also present with vomiting. Person-to-person transmission is rare. It affects children and adults and can be fatal in a matter of hours.
and what are the symptom? Cholera is a highly virulent disease that affects children and adults and can be fatal in a matter of hours.
Approximately 75% of people infected with “V. cholerae” does not present any symptoms, despite the fact that the bacillus is present in their feces for 7 to 14 days after infection and they return to the environment, where they can infect other people.
In 80% of people who have symptoms, they are mild to moderate; 20% suffer acute watery diarrhea with severe dehydration. If left untreated, it can cause death. People with reduced immunity, such as malnourished children and people with AIDS, are at greater risk of dying if they become infected.
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This is how artificial intelligence could be used
The proposal of the authors of this study is to use artificial intelligence as a tool to detect possible diseases by detecting different types of stool. This would require recording patients when they go to the bathroom.
The disease detection process begins with the installation of a tape recorder that “promises to be non-invasive for users,” according to the creators. These sounds are then converted into images using a technique known as spectrogram.
This makes it possible to capture different types of layer patterns. For example, the sound of urine is more continuous, while the sound of stool is usually much more concise. However, in diarrhea it is more random and causes heterogeneous but recognizable patterns.
These spectrograms are run through a artificial intelligence algorithm previously trained by scientists to record known situations. Recordings with or without background noise were used to ensure that the algorithm could accurately capture the desired information.
Finally, according to the researchers, they do not rule out the possibility that this process (as it becomes standardized in areas with sanitation problems) could be incorporated into the functionality of all smart phones in the future.
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