Research map: Artificial Intelligence for Diagnosis, Risk Stratification, and Prognosis of Neuroblastoma - A Systematic Review and Meta-Analysis

Papers in this map

1. QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies · Penny F. Whiting · 2011 · 14558 citations · Cited by this paper
2. Microbiome in Gastrointestinal Tumors: Implications in Oncogenesis and Therapeutic Response · 2026 · Related
3. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews · Matthew James Page · 2021 · 13993 citations · Cited by this paper
4. Updates in the Management of EGFR-Mutated Non-small Cell Lung Cancer (NSCLC) · 2026 · Related
5. High-performance medicine: the convergence of human and artificial intelligence · Eric J. Topol · 2018 · 10180 citations · Cited by this paper
6. Liquid Biopsy in Uterine Leiomyosarcoma: Current Biomarkers, Emerging Technologies, and Future Perspectives · 2026 · Related
7. Optuna · Takuya Akiba · 2019 · 8390 citations · Cited by this paper
8. Head and Neck Rhabdomyosarcoma in Children: An Otolaryngological Perspective on Diagnostic and Therapeutic Approaches · 2026 · Related
9. Artificial intelligence in radiology · Ahmed Hosny · 2018 · 3807 citations · Cited by this paper
10. Next-Generation Checkpoint Combinations: Optimizing PD-(L)1–Based Therapy Across the Advanced, Adjuvant, and Neoadjuvant Settings · 2026 · Related
11. Calibration: the Achilles heel of predictive analytics · On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative · 2019 · 2416 citations · Cited by this paper
12. Robotics in Interventional Oncology: A Call to Arms? · 2026 · Related
13. The PICO strategy for the research question construction and evidence search · Cristina Mamédio da Costa Santos · 2007 · 2344 citations · Cited by this paper
14. Neuro-Oncology of Women (NOW): Special Considerations Regarding Management of Women of Reproductive Age with Glioma · 2026 · Related
15. Prediction models need appropriate internal, internal–external, and external validation · Ewout Willem Steyerberg · 2015 · 1293 citations · Cited by this paper
16. Cardiac Risk Without a Roadmap: Lack of Evidence-Based Guidance for Cardiovascular Toxicity of T-Cell Redirecting Therapies · 2026 · Related
17. Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies · Myura Nagendran · 2020 · 1155 citations · Cited by this paper
18. The Role of Omega-3 Polyunsaturated Fatty Acids in Modulating Inflammation and Breast Cancer: A Systematic Review of In Vitro, Animal, and Human Studies · 2026 · Related
19. Receiver operating characteristic curve analysis in diagnostic accuracy studies · Şeref Kerem Çorbacıoğlu · 2023 · 791 citations · Cited by this paper
20. Targeting GD2 with CAR-T Cell Therapy in Neuroblastoma: Updates, Challenges, and Future Perspectives · 2026 · Related
21. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension · Xiaoxuan Liu · 2020 · 685 citations · Cited by this paper
22. A tutorial on calibration measurements and calibration models for clinical prediction models · Yingxiang Huang · 2020 · 494 citations · Cited by this paper
23. AI in diagnostic imaging: Revolutionising accuracy and efficiency · Mohamed Khalifa · 2024 · 493 citations · Cited by this paper
24. The Current and Future State of AI Interpretation of Medical Images · Pranav Rajpurkar · 2023 · 450 citations · Cited by this paper
25. Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association · Antonis A. Armoundas · 2024 · 327 citations · Cited by this paper
26. Mutational dynamics between primary and relapse neuroblastomas · Alexander R. Schramm · 2015 · 324 citations · Cited by this paper
27. A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI · Viknesh Sounderajah · 2021 · 271 citations · Cited by this paper
28. Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma · Li Zhang · 2018 · 233 citations · Cited by this paper
29. Long-term Outcomes in Survivors of Neuroblastoma: A Report From the Childhood Cancer Survivor Study · Caroline Laverdière · 2009 · 192 citations · Cited by this paper
30. Prediction of Clinical Outcome Using Gene Expression Profiling and Artificial Neural Networks for Patients with Neuroblastoma · Jun Stephen Wei · 2004 · 184 citations · Cited by this paper
31. Artificial intelligence-based clinical decision support in pediatrics · Sriram Ramgopal · 2022 · 181 citations · Cited by this paper
32. Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis · Seong Ho Park · 2022 · 161 citations · Cited by this paper
33. Patterns of Loss to Follow-Up Care Among Childhood Cancer Survivors · Denise A. Rokitka · 2016 · 72 citations · Cited by this paper
34. Identification of Potential Prognostic Genes for Neuroblastoma · Xiaodan Zhong · 2018 · 68 citations · Cited by this paper
35. Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association · Kate A Hanneman · 2024 · 66 citations · Cited by this paper
36. CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma · Xin Chen · 2021 · 52 citations · Cited by this paper
37. Clonal evolution during metastatic spread in high-risk neuroblastoma · Gunes Gundem · 2023 · 52 citations · Cited by this paper
38. Exploration of the molecular characteristics of the tumor–immune interaction and the development of an individualized immune prognostic signature for neuroblastoma · Wenyi Jin · 2020 · 51 citations · Cited by this paper
39. Radiogenomics of neuroblastoma in pediatric patients: CT-based radiomics signature in predicting MYCN amplification · Haoting Wu · 2020 · 49 citations · Cited by this paper

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