aceIntraoperative artificial intelligence for brain tumor surgery: from tissue diagnosis to real-time surgical guidance
The 2021 WHO CNS tumor classification marked a fundamental shift in neuro-oncology: molecular markers rather than histological appearance now define glioma diagnosis and guide treatment. Yet, in clinical practice the molecular information that matters most to a surgeon—IDH status, 1p/19q codeletion, and methylation class—typically arrives days to weeks after the operation it was meant to inform. Artificial intelligence (AI) is beginning to close that gap. Over the past several years, a growing body of work has d…
AI models can give surgeons molecular tumor information during the operation, for example ROBIN nanopore classification reached 90% concordance with the final diagnosis in under 2 hours, rather than days to weeks later.
Widespread clinical adoption of intraoperative AI is held back because no randomized clinical trials yet show that these tools benefit patients.
The review says adoption is limited by the absence of randomized clinical trials showing patient-level benefit, so improved patient outcomes are not established.
Evidence
- Peer-reviewedNeurosurgical Focus2026-10-28
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Truvace Impact Record TRV-2026-2299, v1: “Intraoperative artificial intelligence for brain tumor surgery: from tissue diagnosis to real-time surgical guidance.” Truvace, 2026-10-28. /record/TRV-2026-2299 (accessed at citation time). sha256 5c96085c86c04c4b…
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