Machine learning can help with analysis of gliomas, most common brain tumor, and reduce time patients are in operating room
Interesting. I’ve seen plenty of mentions of the potential use of AI in medicinal imaging, but not in a context where time is of the essence. That’s a particularly compelling use case.
“Still needs to be greenlit by the FDA” - has anyone read a discussion of how the FDA is handing AI medical applications? Considering how overwrought the approval procedure can be for more mundane medical technologies, I have little hope that the process is going to be efficient and effective.
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Harvard Medical School researchers have developed a machine learning tool that could help neurosurgeons treat brain tumors more effectively. The tool aims to provide real-time information about the type and invasiveness of a glioma tumor to assist surgeons in making accurate decisions during surgery. The researchers found that the machine learning tool was more accurate than traditional techniques, and it could also help inform the use of other breakthroughs in brain cancer treatment, such as drug injections. However, it is expected to be several years before the technology is ready for clinical use.
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