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Harvard AI Tool Revolutionizes Brain Cancer Diagnosis During Surgery

Harvard Medical School AI tool achieves 99.8% accuracy in distinguishing brain cancers during surgery, outperforming human pathologists and revolutionizing precision medicine for CNS cancers.

This breakthrough matters because brain cancer misdiagnosis can lead to inappropriate treatments and poor patient outcomes. Glioblastoma and primary central nervous system lymphoma require completely different treatment approaches—surgery and radiation for glioblastoma versus chemotherapy for lymphoma. Misdiagnosis means patients receive ineffective treatments while their actual condition worsens. The AI's 99.8% accuracy rate, compared to human pathologists' 38% error rate, represents a quantum leap in diagnostic precision that could save lives, reduce unnecessary treatments, and accelerate appropriate care. For patients and families facing brain cancer, this technology means faster, more accurate diagnoses and better chances of receiving the right treatment from the start.