ArticleNature2023
Ultra-fast deep-learned CNS tumour classification during surgery.
Article in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
123 citing papers in PubMed, 177 citations in OpenAlex.
- A multi-analyte blood test for acute spinal cord injury.The Journal of clinical investigation · 2025Trial
- Advances in Single-Cell and Spatial Omics for Glioblastoma Precision Medicine.Current oncology reports · 2026Review
- AI enhanced surgeons' faster responses to intraoperative bleeding in laparoscopic surgery: a preclinical randomized controlled trial.Surgical endoscopy · 2026Article
- Multidisciplinary recommendations for routine follow-up of isocitrate dehydrogenase‑mutant glioma in 2026: Adapting clinical practice to the molecular era.Neuro-oncology practice · 2026Review
- Genomics comes of age: From research tool to routine care.Journal of internal medicine · 2026Article
- Clinical evaluation of the CrossNN DNA methylation classifier for central nervous system tumors.Brain pathology (Zurich, Switzerland) · 2026Article
- A theoretical and experimental framework enables low-coverage sequencing for accurate quantification of genome-wide cytosine modification levels.NAR genomics and bioinformatics · 2026Article
- Advancing the applications of liquid biopsies in oncology.Nature reviews. Genetics · 2026Review
- Putting the I in AML: Artificial Intelligence and Machine Learning in Acute Myeloid Leukemia.Cells · 2026Review
- DNA methylation profiling enables subclassification of mucinous ovarian carcinoma and distinguishes it from extraovarian mucinous metastases.Cell reports. Medicine · 2026Article
- Article
- Intraoperative diagnosis of myxoid glioneuronal tumor guiding safe limited resection: a case report.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Article
- DNA Methylation Profiling in IDH-Mutant Gliomas: Biological Evolution, Molecular Grading and Clinical Implementation.Neuropathology and applied neurobiology · 2026Review
- Navigating the Artificial Intelligence Revolution in Clinical Neurology: A New Multidisciplinary Task Force Within the European Academy of Neurology.European journal of neurology · 2026Article
- The emerging role of intraoperative nanopore sequencing on the neurosurgical strategy in paediatric embryonal brain tumours.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Review
- DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.PLoS computational biology · 2026Article
- MOSAIC: Methylation-Oriented Site Analysis and Information Classifier for Robust Epigenomic Classification of Acute Leukemia in Clinical Cohorts with Variable Tumor Purity.medRxiv : the preprint server for health sciences · 2026Article
- A multi-modal foundation model for brain disease diagnosis and medical imaging.Patterns (New York, N.Y.) · 2026Article
- Long-read sequencing technologies and bioinformatics: a new perspective for decoding DNA methylation modifications.Journal of translational medicine · 2026Review
- Hetairos is a histology-based artificial intelligence model for predicting central nervous system tumor methylation subtypes.Nature cancer · 2026Article
63 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Central nervous system tumours represent one of the most lethal cancer types, particularly among children
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.