ArticleNPJ precision oncology2024
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology.
Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed.
- A unified vision-language model for precision oncology and biomarker prediction in neuroblastoma.Nature communications · 2026Article
- Digital Pathology in Head and Neck Squamous Cell Carcinoma: Translational Advances and Clinical Integration for Pathologists, Oncologists, and Surgeons.Head and neck pathology · 2026Review
- Interpretative diagnostic model for neuroblastoma metastases using bone marrow cytology.Journal of translational medicine · 2026Article
- Pathology of peripheral neuroblastic tumors.Diagnostic pathology · 2026Review
- Dual-stage deep learning framework for neuroblastoma differentiation by integrating cell segmentation and multiscale modeling.World journal of pediatric surgery · 2026Article
- Advances in multi-omics research on neuroblastoma.Frontiers in pediatrics · 2026Review
- Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology.Scientific reports · 2025Article
- Multiscale tumor characterization in histopathology via self-distilled transformers and topology-aware visual encoding.Scientific reports · 2025Article
- Engineering CAR T NK and NKT cell therapies to target cancer stem cells and overcome stem like resistance.Discover oncology · 2025Review
- Histologic Response to Induction Chemotherapy in High-Risk Neuroblastoma.Cancer medicine · 2025Article
- Accurate prediction of disease-free and overall survival in non-small cell lung cancer using patient-level multimodal weakly supervised learning.NPJ precision oncology · 2025Article
- Case Report: Complete remission in a neonate with high-risk neuroblastoma harboring MYCN amplification and 1p deletion: a case for aggressive early intervention, and literature review.Frontiers in pediatrics · 2025Article
- The paradigm shift in neural stem cells basic research driven by artificial intelligence related technologies.Frontiers in cellular neuroscience · 2025Review
Corrections and comments
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Authors and funding
21 authors.
Funding
Abstract
A deep learning model using attention-based multiple instance learning (aMIL) and self-supervised learning (SSL) was developed to perform pathologic classification of neuroblastic tumors and assess MYCN-amplification status using H&E-stained whole slide images from the largest reported cohort to date. The model showed promising performance in identifying diagnostic category, grade, mitosis-karyorrhexis index (MKI), and MYCN-amplification with validation on an external test dataset, suggesting potential for AI-assisted neuroblastoma classification.
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.