New Delhi: A new smartphone application can prove useful for you. Associate Because it detects in just a few seconds whether the patient has had a stroke or not. The developers of this tool, which has an accuracy of 82 percent, said that it artificial intelligence Analyzing (AI) Facial symmetry And Muscle movements To detect a stroke.

Signs that a person is having a stroke can include confusion, loss of control over muscle movements, difficulty speaking and loss of facial expressions, he said.

The research team shared the results of testing this application in a study, published in the journal ‘Computer Methods and Programs in Biomedicine’.

“One of the key parameters affected in people who suffer a stroke is that their facial muscles usually become unilateral, so one side of the face behaves differently from the other side of the face,” said lead author Guilherme Camargo de Oliveira from the Royal Melbourne Institute of Technology (RMIT) in Australia.

“We have (AI) tools and image processing tools that can detect if there is a change in the asymmetry of the smile — that was the key to detection in our case,” de Oliveira said.

According to the researchers, the smartphone tool has an accuracy rating of 82 percent for detecting strokes, which is better than the success rate of paramedics.

For the study, the team used video recordings of facial expressions from 14 people who had suffered a stroke and 11 healthy individuals.

Early detection of stroke is important, as timely treatment reduces the risk of long-term disability and saves lives, the researchers said.

He said although the newly developed tool will not replace comprehensive diagnostic tests for stroke, it could help in early identification of people who need treatment.

“Studies show that around 13 per cent of strokes go undiagnosed in emergency departments and community hospitals, while without a documented neurological examination up to 65 per cent of patients who have a stroke go undiagnosed,” RMIT Professor and corresponding author Dinesh Kumar said.

“This rate may be even higher in smaller regional centers. Since most strokes occur at home and initial care is often provided by first responders under non-ideal circumstances, there is an urgent need for real-time, user-friendly diagnostic tools,” Kumar said.