Radiology departments are dealing with an ever-increasing workload1 while at the same time rates of remuneration are declining and competition is increasing. These pressures translate into less time for scanning and reporting – and this means staff are more likely to make errors.2
Our CT portfolio harnesses the power of AI and automation to relieve you of repetitive tasks and optimize your imaging workflow from start to finish. Based on 20 years of experience in AI development, we are providing you with solutions that simplify examinations while at the same time supporting diagnostic precision and optimal quality.
Driving CT innovations
with the power of AIYou think ahead. We innovate ahead.
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1
The Royal College of Radiologists. Clinical radiology: UK workforce census 2018 report.
2
Berlin, L. Faster reporting speed and interpretation errors: conjecture, evidence, and malpractice implications. JACR 2015; 12(9): 894-896.
3
Testing bay environment study, Forchheim, Germany.
4
Clarivate 2022, Siemens data extract.
5
Rueckel, J. et al. Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up. Eur J Radiol 2021; 134: 109424.
6
Yacoub, B. et al. Impact of artificial intelligence assistance on chest ct interpretation times: a prospective randomized study. AJR 2022; 219(5): 743-751.
7
Rueckel, J. et al. Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up. Eur J Radiol 2021; 134: 109424.
The products/features and/or service offerings (mentioned herein) are not commercially available in all countries. Their future availability cannot be guaranteed.
The statements by Siemens Healthineers’ customers described herein are based on results that were achieved in the customer's unique setting. Because there is no "typical" hospital or laboratory and many variables exist (e.g., hospital size, samples mix, case mix, level of IT and/or automation adoption) there can be no guarantee that other customers will achieve the same results.