The field of radiology today faces greater pressure than ever before. While reimbursement rates are trending downward, competition in the market keeps growing. Staff are shouldering near-impossible workloads1 that force them to spend less time per patient. The obvious consequence: they are more likely to make errors2 that can negatively affect patient health.Â
It is time to harness the power of AI and automation to simplify repetitive tasks across your imaging workflows. Based on 20 years of experience in AI development, the Siemens Healthineers CT portfolio is optimally suited to help you accomplish this – while at the same time upholding the highest diagnostic precision and quality standards.
Driving CT innovations
with the power of AIYou think ahead. We innovate ahead.
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
IMV. 2019 CT Market Outlook Report.
5
Clarivate 2022, Siemens data extract.
6
Rueckel, J. et al. Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up. Eur J Radiol 2021; 134: 109424.
7
Yacoub, B. et al. Impact of artificial intelligence assistance on chest ct interpretation times: a prospective randomized stud. AJR 2022; 219(5): 743-751.
8
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. In EU myNeedle Companion is enabled by the combination of a suitable CT scanner equipped with a medical device software, which includes the myNeedle Guide workflow.
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.