The Advancement in Radiology - RadioReport®
Next generation of the Radiology Workflow
DOI:
https://doi.org/10.59667/sjoranm.v3i1.11Keywords:
Workflow with Artificial Intelligence (AI), RadioReport®, Radiological Workflow, AI-based Image AnalysisAbstract
Advancement in RADIOLOGY: Berlin-based startup develops technology breakthrough for the next generation of the radiology workflow. LMU University Hospital Munich and Hospital Oldenburg are implementing RadioReport® solution. The medical concept for the RadioReport®-software was developed by a team of very experienced field-radiologists. Efficiency increases level up to over 40 percent in the reporting process. AI has also been fully integrated for faster image analysis.
References
Feuerecker B, Heimer MM, Geyer T, et al. Artificial Intelligence in Oncological Hybrid Imaging. Rofo 2023;195(2):105-114. DOI: 10.1055/a-1909-7013.
Shafique U, Chaudhry US, Towbin AJ. Are the Pilots Onboard? Equipping Radiologists for Clinical Implementation of AI. J Digit Imaging 2023. DOI: 10.1007/s10278-023-00892-z.
Shah R, Astuto Arouche Nunes B, Gleason T, et al. Utilizing a Digital Swarm Intelligence Platform to Improve Consensus Among Radiologists and Exploring Its Applications. J Digit Imaging 2023;36(2):401-413. DOI: 10.1007/s10278-022-00662-3.
Bosbach WA, Senge JF, Nemeth B, et al. Ability of ChatGPT to generate competent radiology reports for distal radius fracture by use of RSNA template items and integrated AO classifier. Curr Probl Diagn Radiol 2023. DOI: 10.1067/ j.cpradiol.2023.04.001.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Alexander Huppertz
This work is licensed under a Creative Commons Attribution 4.0 International License.
This license requires that reusers give credit to the creator. It allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, even for commercial purposes.