Study finds new AI tool improves brain tumor treatment speed and accuracy | Neuroscience #BrainTumorTreatment

A new study from Harvard Medical School suggests that machine learning could assist neurosurgeons in treating brain tumors, specifically gliomas. Gliomas are the most common brain tumor in cancer patients, and different types of gliomas require different surgical approaches. Currently, surgeons rely on pathology lab analysis during surgery, which can be time-consuming and prone to error. The study found that machine learning can speed up and improve the accuracy of glioma analysis, potentially reducing the time patients spend in the operating room. However, the technology is not expected to be ready for clinical use for several years.