Artificial Intelligence Treats Brain Tumor
Researchers in Germany have developed an Artificial Intelligence method for analysis of brain tumor. This can pave the way for individualized treatment of brain tumor.
A study that is published in The Lancet Oncology which is AI machine learning methods, carefully trained on standard magnetic resonance imaging (MRI), are more reliable and precise than established radiological methods in the treatment of gliomas.
A glioma is a type of tumor that starts in the glial cells of the brain or the spine. Gliomas comprise about 30 percent of all brain tumors and central nervous system tumors, and 80 percent of all malignant brain tumors.
“With this study, we were able to demonstrate the potential of artificial neural networks in radiological diagnostics,” said Philipp Kickingereder from the Heidelberg University in Germany.
For the study to observed 500 brain tumor patients were considered. Using artificial neural networks the algorithms automatically recognized and localized brain tumors.
The algorithms were also enabled to volumetrically measure the individual areas
“We want to advance the technology for automated high-throughput analysis of medical image data and transfer it not only to brain tumours but also to other diseases like brain metastases or multiple sclerosis,” said Klaus Maier Hein at the varsity.
Often using surgery Glioma tumors are not completely removed. Moreover Chemotherapy and Radiotherapy are effective only to a certain extent because tumours are highly resistant. Therefore, new and accurately validated treatment approaches are crucially needed.
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