{"scope":{"layer":"brain_tumor","tissue_scope":"brain_tumor","species":"unknown","system":"unknown","evidence_level":"peer_reviewed","importance":"","importance_reason":""},"id":"VC0171","type":"paper","title":"AI in Neuro-Oncology: An Overarching Review","authors_or_org":"Pitarch-Abaigar C, Lohmann P, Aloy P, Al-Shahrour F, Arnaout O, Bi WL, Galldiks N, Huse JT, Karschnia P, Nasrallah MP, Patel A, Rahman R, Sahm F, Smith TR, Tonn JC, Umeton R, Valiente M, Zarella M, Huang RY, Bakas S.","date":"2026-10-13","year":"2026","venue":"Neuro-Oncology","url":"https://doi.org/10.1093/neuonc/noag257","doi":"10.1093/neuonc/noag257","pmid":"42867147","brain_tumor_focus":"yes","tags":["review","neuro-oncology","mri","pathology","digital-twin"],"tag_slugs":["review","neuro-oncology","mri","pathology","digital-twin"],"tag_labels":["Review","Neuro-oncology","MRI","Pathology","Digital twin"],"tag_labels_zh":["综述","神经肿瘤学","磁共振成像","病理","数字孪生"],"unmapped_tags":[],"one_line_summary_en":"Review by the RANO (Response Assessment in Neuro-Oncology) working groups (Pitarch-Abaigar et al.; senior authors Huang RY and Bakas S; Neuro-Oncology 2026) covering AI across six domains: neuroimaging, neuropathology, laboratory medicine, neurosurgery, drug discovery and clinical trials. The authors place imaging segmentation and quantification, AI-assisted image reconstruction, DNA methylation-based classification and workflow optimization closest to clinical use, while radiogenomics, WSI-based molecular prediction, AI-guided surgical targeting, liquid biopsy interpretation, AI-guided drug discovery, digital twins and in silico trials still require stronger prospective validation.","one_line_summary_zh":"RANO（神经肿瘤疗效评估）各工作组联合综述（Pitarch-Abaigar 等；通讯/资深作者 Huang RY 与 Bakas S；Neuro-Oncology 2026），覆盖 AI 在神经影像、神经病理、检验医学、神经外科、药物发现与临床试验六个领域的应用。作者认为最接近临床应用的是影像分割与定量、AI 辅助图像重建、基于 DNA 甲基化的分类和流程优化；影像基因组学、基于全切片图像的分子预测、AI 引导的手术定位、液体活检解读、AI 药物发现、数字孪生与计算机模拟试验仍需更充分的前瞻性验证。","verified":"yes","verification_source":"PubMed E-utilities PMID 42867147 (title, 20 authors, Neuro Oncol, epub 2026-10-13, abstract) + Crossref (journal-article, published 2026-10-13, article noag257, CC BY 4.0) fetched 2026-10-20; full text not read","page_url":"https://gliostate.com/library/VC0171/","api_url":"https://gliostate.com/api/items/VC0171.json","sameAs":["https://doi.org/10.1093/neuonc/noag257","https://pubmed.ncbi.nlm.nih.gov/42867147/"],"is_preprint":false,"facets":{"type":"https://gliostate.com/library/type/paper/","year":"https://gliostate.com/library/year/2026/","tags":["https://gliostate.com/library/tag/review/","https://gliostate.com/library/tag/neuro-oncology/","https://gliostate.com/library/tag/mri/","https://gliostate.com/library/tag/pathology/","https://gliostate.com/library/tag/digital-twin/"]},"cited_by":[],"related":[{"id":"VC0077","title":"Generative AI for spatial tumor growth on MRI: a proof-of-principle study in pediatric diffuse midline glioma.","shared_tags":["mri","digital-twin"],"page_url":"https://gliostate.com/library/VC0077/","api_url":"https://gliostate.com/api/items/VC0077.json"},{"id":"VC0154","title":"Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks","shared_tags":["digital-twin","mri"],"page_url":"https://gliostate.com/library/VC0154/","api_url":"https://gliostate.com/api/items/VC0154.json"},{"id":"VC0122","title":"SNO 2026 31st Annual Meeting","shared_tags":["neuro-oncology"],"page_url":"https://gliostate.com/library/VC0122/","api_url":"https://gliostate.com/api/items/VC0122.json"},{"id":"VC0176","title":"A multimodal precision oncology platform integrating genomics, single-cell transcriptomics, and functional drug screening expands therapeutic options in pediatric brain tumors","shared_tags":["neuro-oncology"],"page_url":"https://gliostate.com/library/VC0176/","api_url":"https://gliostate.com/api/items/VC0176.json"},{"id":"VC0123","title":"EANO 2026 (21st meeting)","shared_tags":["neuro-oncology"],"page_url":"https://gliostate.com/library/VC0123/","api_url":"https://gliostate.com/api/items/VC0123.json"},{"id":"VC0028","title":"STPath: a generative foundation model for integrating spatial transcriptomics and whole-slide images.","shared_tags":["pathology"],"page_url":"https://gliostate.com/library/VC0028/","api_url":"https://gliostate.com/api/items/VC0028.json"}]}