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AI will become a weapon for epileptic seizures, will also help in surgery

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An international team led by researchers from the University College of London has created a program of special artificial intelligence. It is believed to be very effective for the treatment of epilepsy.

Highlights
  • Artificial intelligence special program
  • Very effective for the treatment of epilepsy
  • Complex treatment can be made easy

In the recent past, there has been a lot of news about Artificial Intelligence. Elon Musk, the world’s richest man, has said that if the speed at which artificial intelligence is progressing, it can also prove to be dangerous for human civilization. Apart from this, there are many such news in which it is said that artificial intelligence has the power to grab people’s jobs in the coming era, but at present, artificial intelligence is in the headlines due to good reasons.

In fact, an international team led by researchers from the University College of London has created a program of special artificial intelligence. It is believed to be very effective for the treatment of epilepsy. It is being claimed about this AI that it can detect the finer anomalies of the brain and due to this, complex treatment of epilepsy can be simplified.

This program has been used in the Multicenter Epilepsy Lesion Detection Project. This program has been designed based on the analysis of MRIs of more than thousand patients from 22 International Epilepsy Centers. There have been reports of location anomalies in drug-resistant focal cortical dysplasia (FCD). According to reports, FCD is the leading cause of epilepsy and the presence of FCD in the brain causes drug-resistant epilepsy.

Although the process of surgery is adopted for its treatment, but the detection of lesions on MRI proves to be a big challenge for doctors. This is because an MRI scan may appear quite normal for FCD. Researchers have tried to assess cartel properties from MRI scans by examining more than three lakh places in the brain.

The purpose of this research was to find out how bent the surface of the brain is. Based on this, radiologists decide whether the brain is healthy or has FCD. The findings of this research have been published in the journal Brain. 538 people were involved in this research and in this research, FCD could be detected in 67 percent of the people.

Earlier, radiologists had failed to detect abnormalities in the brains of 178 people on the basis of MRI. Researcher Mathilde Ripart from the UCL Great Ormond Street Institute of Child Health said that she focused a lot on one thing in developing this AI system. He said that he wanted it to help the doctor take the right decision.

The most important thing in this whole process was how well the MELD algorithm could be able to predict the disease. This is important because if doctors can identify anomalies from brain scans, it will be easier to perform precise surgery to remove them.

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