Scientists have developed an artificial intelligence instrument called report -graph, which can discover 64% of the stroke associated with epilepsy, which is overlooked by the eyes of radiologists, and researchers confirm that this technique can make a fundamental change in the care of millions of people around the world. The study, which was published in the Journal of the American Downance Association, was conducted by a team of the universities of “Kings College-London” and “University College-London”; This technique helps a lot to discover the focal cortical dysplasia, which is one of the most important causes of epilepsy. The researchers emphasized that this tool can accelerate diagnostic operations, contributing to the access of patients to surgical treatment at a faster time, reducing the number of epilepsy attacks, reducing emergency room visits and improving the quality of patient’s life. It can also reduce the cost of the British Health Services Authority by up to $ 60,000 for each patient, due to the avoidance of unnecessary examinations and expensive therapeutic procedures. Brain -Abnormalities and about 1 in 100 people in the UK suffer from epilepsy, and 20% of these cases are due to structural abnormalities in the brain, due to focal dysplasia, which is one of the most common structural causes of epilepsy. This defect is often not discovered with the naked eye, as studies show that doctors up to 50% of these abnormalities are not noticed by doctors when reviewing traditional magnetic resonance images. This delay in diagnosis leads to the continuation of attacks for years, increasing the suffering of patients, and also disabilities in their daily lives at school, work and family life. Surgical therapy to remove deformation can be an effective and safe solution, but the most important obstacle lies in the ability to discover these microscopic distortions early. To improve the detection of these distortions, the researchers collected data from 1185 patients from 23 medical centers around the world. The sample included 703 patients with focal dysfunctional and 482 healthy people, taking into account that half of the sample was children. Subsequently, the mention -graph’s artificial intelligence instrument was trained to analyze magnetic resonance images to discover stripes that have not been monitored before. In one of the cases that benefited from this technique, mention -graph could discover accurate brain distortion that noticed many traditional radiologists, and the patient, a 12 -year -old child, had daily attacks, and no improvement, despite the use of nine different types of epilepsy medicines. According to the study author, Luka Palaa, the doctor of Bambino Jiso Hospital for children in Italy, this technique can make a big difference in identifying patients who can benefit from surgery, in addition to improving surgical planning and risk associated with surgical procedures. Although the instrument has not yet been adopted for clinical use, the research team has launched it as an Open Source program, and researchers organize workshops to train doctors worldwide, including at Great Ormond Street Hospital in the United Kingdom and Cleveland Clinic in the United States. Support of doctors faces specialists in the radiology sections of pressure; Because of the large number of medical images they need to review daily, which make the diagnosis process more complicated. The lead author of the study “Conrad Westl”, a researcher at Kings College London, believes that using an artificial intelligence instrument such as reporting Graph can be an important support for doctors because it helps them make more accurate decisions. And “Westluel” said that this technique not only contributes to improving the effectiveness of the health system, but that patients also accelerate the appropriate treatment, reducing the need for additional tests and tests. The impact of this instrument was not only limited to individual cases, but also extended to doctors around the world. The author who participated in the study, “Matilde Ribart”, indicated that one of the most exciting aspects of this project was to hear the stories of doctors in the United Kingdom, Chile, India and France that could use this tool to help their patients. This global impact explains the extent of the technology’s ability to make a real change in the method of diagnosis and treatment of epilepsy in different medical environments. Helene Kroos, the head of the International Association for Combating Epilepsy, confirmed, a consultant epilepsy in Great Ormond Street, the importance of this development, as stated that many children suffer years of uninterrupted seizures and diagnoses before doctors can determine the malformations that cause epilepsy. She added: “This delay in diagnosis means years of suffering and daily disorders of patients and their families for it. Techniques such as reporting graph provide a promising solution to accelerate the diagnosis and treatment, which can be a great step towards improving the lives of these children.”
It is overlooked by doctors. Artificial intelligence discovers 64% of epilepsy brain disorders
