Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study.
- DOI
- 10.2196/92642
- Published
- 2026 May 25
- Container
- Journal of medical Internet research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/92642,
title = {Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study.},
author = {May P and Brookman-May SD and Garrahy E and von Büren J},
year = {2026},
journal = {Journal of medical Internet research},
doi = {10.2196/92642},
url = {https://doi.org/10.2196/92642}
}RIS
TY - JOUR TI - Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study. AU - May P AU - Brookman-May SD AU - Garrahy E AU - von Büren J PY - 2026 JO - Journal of medical Internet research DO - 10.2196/92642 UR - https://doi.org/10.2196/92642 ER -
APA
P, M., SD, B., E, G., & J, V. B. (2026). Sequencing AI Automation and Data Interoperability in Oncology Using a Scenario-Planning Framework Coupled With Discrete-Event Simulation: Proof-of-Concept Study.. Journal of medical Internet research. https://doi.org/10.2196/92642
Source records
- pubmed · retrieved 2026-09-24T21:19:01.247Z