Citation notice #7057 · 2026-07-11 06:31:25.001325+00:00

DosimeTron: Automating Personalized Monte Carlo Radiation Dosimetry in PET/CT with Agentic AI

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cites mAIstro: An open-source multi-agent system for automated end-to-end development of radiomics and deep learning models for medical imaging, which carries a correction notice dated 2025-05-10. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

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01Evidence

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Advanced Monte Carlo simulations of emission tomography imaging systems with GATE. Phys Med Biol. 2021;66(10):10TR03. doi: 10.1088/1361-6560/abf276. [8] Bu D, Sun J, Li K, et al. Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses. Nat Biomed Eng. 2026; doi: 10.1038/s41551-026-01634-6. 15 [9] Tzanis E, Klontzas ME. mAIstro: An open-source multi-agent system for automated end-to-end development of radiomics and deep learning models for medical imaging. European Journal of Radiology Artificial Intelligence. 2025;4:100044. doi: 10.1016/j.ejrai.2025.100044. [10] Tzanis E, Adams LC, Akinci D'Antonoli T, et al. Agentic systems in radiology: Principles,

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Advanced Monte Carlo simulations of emission tomography imaging systems with GATE. Phys Med Biol. 2021;66(10):10TR03. doi: 10.1088/1361-6560/abf276. [8] Bu D, Sun J, Li K, et al. Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses. Nat Biomed Eng. 2026; doi: 10.1038/s41551-026-01634-6. 15 [9] Tzanis E, Klontzas ME. mAIstro: An open-source multi-agent system for automated end-to-end development of radiomics and deep learning models for medical imaging. European Journal of Radiology Artificial Intelligence. 2025;4:100044. doi: 10.1016/j.ejrai.2025.100044. [10] Tzanis E, Adams LC, Akinci D'Antonoli T, et al. Agentic systems in radiology: Principles

02Event

Type: Correction
Source: Crossref
Original DOI: 10.1016/j.jfscie.2025.100044
Notice DOI: 10.1016/j.jfscie.2025.100049
Date: 2025-05-10
Title: Correction
Reasons: ['Erratum']
Work: mAIstro: An open-source multi-agent system for automated end-to-end development of radiomics and deep learning models for medical imaging (2025)

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