Using AI to improve the molecular classification of brain tumors
- PMID: 37041386
- DOI: 10.1038/s41591-023-02298-4
Using AI to improve the molecular classification of brain tumors
Comment on
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Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging.Nat Med. 2023 Apr;29(4):828-832. doi: 10.1038/s41591-023-02252-4. Epub 2023 Mar 23. Nat Med. 2023. PMID: 36959422 Free PMC article.
References
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- Louis, D. N. et al. The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro. Oncol. 21, 1498–1508 (2021). This paper summarizes the updated WHO tumor classification with full integration of molecular features for brain tumor diagnosis.
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- Orringer, D. A. et al. Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy. Nat. Biomed. Eng. 1, 0027 (2017). This paper demonstrates the feasibility of integrating SRH into the clinical workflow for brain tumor diagnosis. - DOI - PubMed - PMC
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- Vaswani, A. et al. Attention is all you need. Adv. Neural Inf. Process. Syst. 30 (2017). This paper introduced the transformer neural network architecture.
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