Release date: 2015-05-18 The Hong Kong Polytechnic University (PolyU) has developed a new computer-aided system to detect acute stroke using computer intelligence technology. By reading 80 to 100 computed tomography images, the system is able to detect whether a patient has an ischemic stroke or a congestive stroke. The system's diagnostic accuracy is 90%, which is similar to the diagnostic accuracy of the specialist, and is reduced from 10-15 minutes to 3 minutes. The new system provides a reference for doctors working on the front line to ensure that stroke patients receive timely and appropriate treatment. The gold treatment time for acute stroke is within three hours of the disease. It is important to treat the stroke of gold treatment for stroke. However, specialists do not stay in the office around the clock, so there is a risk of missed or delayed consultation. The new system analyzes brain scans and provides a second reference for non-specialist healthcare professionals to assist them in making a diagnosis. Providing timely diagnosis and treatment within three hours of stroke, can reduce the damage caused by stroke. Developed by the Department of Medical Technology and Informatics at PolyU, this computer-aided detection technology combines precision computing, artificial intelligence and pathology to help doctors quickly and accurately diagnose symptoms. The first part of the system is a set of operational calculations that automatically extract the range of suspected strokes. Computed tomography uses X-rays to capture multiple cross-sectional images of the patient's brain. When the blood flowing to the brain is blocked, the brain-related range may become soft or the density is reduced due to insufficient blood; if the above phenomenon occurs in a computed tomography scan, the patient may have an ischemic stroke. The second part of the system is an artificial neural network to determine whether the range of the selection is a stroke. The system can "learn" the characteristics of the stroke and then automate the calculation. When a computed tomography image is entered into a computer, the system performs precise calculations and comparisons to determine the extent of suspected lack of blood flow. The system can mark the abnormal place of the scanned image for the doctor to check. The system can also detect some early changes, including the unclear boundary of the skin of the island leaf, the inconspicuous sulci and the high-density cerebral artery signs, which help doctors determine whether there is a blood clot in the patient's brain. As for congestive stroke, the system can detect changes in fine density, and if the density increases, it means signs of a congestive stroke. The computer-aided detection stroke system is equipped with built-in artificial intelligence technology that can be learned from experience. With the input of scanned images and expert feedback, the accuracy of the system will gradually increase. This life-saving program can detect subtle brain changes that even senior experts may overlook, greatly reducing the chance of missed diagnosis. In addition, it can help to rule out false positives and false negatives, as well as other less serious suspected stroke conditions, to help doctors make appropriate diagnoses. Source: Bio 360
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