The Advancement in Radiology - RadioReport®

Next generation of the Radiology Workflow

Authors

DOI:

https://doi.org/10.59667/sjoranm.v3i1.11

Keywords:

Workflow with Artificial Intelligence (AI), RadioReport®, Radiological Workflow, AI-based Image Analysis

Abstract

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.

RadioReport

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Published

2023-09-30

Issue

Section

Specials

How to Cite

The Advancement in Radiology - RadioReport®: Next generation of the Radiology Workflow. (2023). Swiss Journal of Radiology and Nuclear Medicine, 3(1), 9-10. https://doi.org/10.59667/sjoranm.v3i1.11

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