AI Will Soon Help Doctor To Diagnose Brain Hemorrhages

Artificial intelligence gives us an advanced technological solution that can be applied to any field, including medical treatment with a high accuracy level. Nonetheless, for detecting brain hemorrhage, it will be a bit challenging, as a small bleed can even cause death. So far, technological advances have been developed to support the treatment and diagnosis of the disease, but the accuracy has not really improved. Recently, researchers from UCSF and UC Berkeley have found a better solution just by improving the algorithm to detect brain hemorrhages. The key lies in how finely-detailed the training data was. 

Accordingly, the process of generating algorithms based on a convolutional neural network consisting of over 4,000 CT scans. Despite the small size of samples, the abnormalities detected among the scans were so detailed that it could be observed at pixel levels. This will avoid false analysis or misinterpretation, especially for brain hemorrhage. AI support through training to observe part of an image instead of everything at one time can reduce the possibility that it will make false conclusions based on very small changes. 

Although AI assistance is very important and effective in diagnosing the disease, it still cannot replace the position of the doctors. AI can quickly classify different types of hemorrhage within seconds after receiving the report. And this can save a lot of valuable time for doctors, especially in emergencies when patients have serious signs of a brain hemorrhage. In the future, when scientists finish testing algorithms against CT scans, the outcomes will probably be applied immediately to help doctors screen patients as well as concentrate on saving people’s lives.