Artificial Intelligence in Radiology: Methodological Foundations, Clinical Applications, and Emerging Multimodal Models
- DOI
- 10.1055/a-2944-0073
- Published
- 2026-09-21
- Container
- RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
- Publisher
- Georg Thieme Verlag KG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1055/a-2944-0073,
title = {Artificial Intelligence in Radiology: Methodological Foundations, Clinical Applications, and Emerging Multimodal Models},
author = {Christoph Alexander Stueckle and Matthias Limbrock and Patrick Haage},
year = {2026},
journal = {RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren},
doi = {10.1055/a-2944-0073},
url = {https://doi.org/10.1055/a-2944-0073}
}RIS
TY - JOUR TI - Artificial Intelligence in Radiology: Methodological Foundations, Clinical Applications, and Emerging Multimodal Models AU - Christoph Alexander Stueckle AU - Matthias Limbrock AU - Patrick Haage PY - 2026 JO - RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren DO - 10.1055/a-2944-0073 UR - https://doi.org/10.1055/a-2944-0073 ER -
APA
Stueckle, C. A., Limbrock, M., & Haage, P. (2026). Artificial Intelligence in Radiology: Methodological Foundations, Clinical Applications, and Emerging Multimodal Models. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. https://doi.org/10.1055/a-2944-0073
Source records
- crossref · retrieved 2026-09-24T19:51:30.798Z