Researchers developed an artificial intelligence model capable of detecting remnants of brain tissue that surgeons may overlook during their removal from patients. This model can identify remaining tissues within just 10 seconds and helps predict various complications after surgery, both long-term and short-term. The developed technology is called Fast Glioma and was created by researchers from the universities of Michigan and California in the USA.
According to scientists, this technology works faster and more accurately than current standard methods for detecting tissues. It can be applied for diagnosing other brain tissues in children and adults, and it can serve as a guide for surgeons during brain tissue removal. In most cases during the removal of tissues, it is difficult to distinguish healthy brain tissues from tumor tissues, leading to leaving behind a small piece of tumor in the patient, from which mass was removed.
This may result in various complications, including seizures, delirium, headaches, cognitive decline, and motor function disorders.
