In radiation oncology, the best way to maintain patient safety when implementing cutting edge technologies such as AI-based and real-time adaptive techniques is through prospective hazard analysis
- DOI
- 10.1007/s13246-026-01738-y
- Published
- 2026-06
- Container
- Physical and Engineering Sciences in Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13246-026-01738-y,
title = {In radiation oncology, the best way to maintain patient safety when implementing cutting edge technologies such as AI-based and real-time adaptive techniques is through prospective hazard analysis},
author = {Jonathan Hindmarsh and Nicole Jessop and Clive Baldock},
year = {2026},
journal = {Physical and Engineering Sciences in Medicine},
doi = {10.1007/s13246-026-01738-y},
url = {https://doi.org/10.1007/s13246-026-01738-y}
}RIS
TY - JOUR TI - In radiation oncology, the best way to maintain patient safety when implementing cutting edge technologies such as AI-based and real-time adaptive techniques is through prospective hazard analysis AU - Jonathan Hindmarsh AU - Nicole Jessop AU - Clive Baldock PY - 2026 JO - Physical and Engineering Sciences in Medicine DO - 10.1007/s13246-026-01738-y UR - https://doi.org/10.1007/s13246-026-01738-y ER -
APA
Hindmarsh, J., Jessop, N., & Baldock, C. (2026). In radiation oncology, the best way to maintain patient safety when implementing cutting edge technologies such as AI-based and real-time adaptive techniques is through prospective hazard analysis. Physical and Engineering Sciences in Medicine. https://doi.org/10.1007/s13246-026-01738-y
Source records
- crossref · retrieved 2026-09-25T16:17:36.087Z