An Artificial Intelligence A tool (AI) has appeared to help doctors fight aggressive brain tumors. It helps in identifying key characteristics that provide guidance during the operation.

The Cryosection Histopathology Assessment and Review Machine (CHARM) is an advanced tool that efficiently analyzes images to identify the genetic profile of gliomas, a type of aggressive brain tumor. Currently, this process takes days to weeks. Kun-Hsing Yu, lead author of the July 7 book message v Med explained that surgeons rely on detailed diagnoses for their operations.

Although the accuracy of the tool may not match that of current genetic tests, it has the ability to quickly predict a tumor profile. This rapid analysis allows doctors to proceed with appropriate treatment without having to plan and perform additional surgeries, saving valuable time, Yu explained.

In addition, CHARM can distinguish between malignant and benign tumor cells and determine the grade of the tumor, which indicates its level of aggressiveness. These are the assessments that human pathologists typically perform during surgery. However, according to Yu, CHARM could eliminate the need for a 10- to 15-minute wait or the presence of a pathologist on call during surgery.

Glioma, a particularly aggressive subtype known as glioblastoma, poses a significant threat, with untreated cases leading to death in less than six months. It is tragic that only 17% of individuals diagnosed with glioblastoma survive after the second year, as reported from the American Association of Neurological Surgeons.

Yu and his team trained a machine learning algorithm using images of brain surgery specimens and tested its accuracy against patient diagnoses. CHARM has demonstrated better performance in identifying tumor genetic profiles compared to other AI systems.

Surgeons rely heavily on the tumor’s genetic profile to make critical decisions about the extent of tissue removal and the potential use of drug-coated slices in the treatment of glioma tumors. Unfortunately, obtaining this information is currently a time-consuming process.

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The research conducted by Yu and his team contributes to a comprehensive series initiatives that use AI to improve diagnosis and cancer treatment. In a remarkable editorial published the June issue of Lancet Oncology highlighted the capabilities of certain systems to accurately identify individuals at increased risk for pancreatic, lung and breast cancer.

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