The AI-Rad Companion, our family of AI-powered, cloud-based augmented workflows, helps you to reduce the burden of basic repetitive tasks and may increase your diagnostic precision when interpreting medical images.
Its solutions provide automatic post-processing of imaging datasets through our AI-powered algorithms. The automation of routine workflows with repetitive tasks and high case volumes helps you to ease your daily workflow – so that you can focus on more critical issues.
Increasing workload and less time for interpretation
The radiologists’ workload is steadily increasing
In many countries, the number of radiology examinations is skyrocketing, while the number of radiologists and imaging specialists is not keeping up with the trend. The result is a dramatically increased workload for radiologists.1
Higher error rates caused by shortened turnaround time
Recent studies show that cutting radiologists’ interpretation time in half increases the interpretation error rate by 16.6%.234
Up-to-date algorithms and scalable offerings
Our state-of-the-art algorithms will be automatically distributed to you as a user as soon as they are officially released and made available. Once the images are post-processed by the AI-Rad Companion, it supports your interpretation of the data by automatically providing results of its analysis to you for review, confirmation and possible inclusion in the final report or care pathway – to raise your precision and ensure high quality outcome in diagnostic decision- making.
All our AI-Rad Companion extensions are deployed via one secure cloud – the teamplay Cloud Platform. This approach eases regular updates as well as upgrade processes and eases the integration of new offerings into the existing IT environment.
The family of the AI-Rad Companion is further growing across various modalities and body regions. It currently encompasses the following offerings:
- AI-Rad Companion Chest CT – your imaging decision support aide for chest CT interpretation This includes the ability to provide lung lobe segmentation, lung lesion detection and measurements, heart segmentation and calcium detection, aorta segmentation and diameter measurements, and vertebra body segmentation and measurement.
- AI-Rad Companion Brain MR5 – your imaging decision support aide for morphometry analysis This extension provides aide to users in the assessment of neurodegenerative disease, done with objective, quantitative data as input for therapy management in neurology. AI-Rad Companion brings value to the interpretation process in supporting the clinician by automatic segmentation and analysis of individual brain structures. The volume of each of these structures will be compared to a normative database and results will be offered in graphics and numerical values.
- AI-Rad Companion Prostate MR6 – your aide for biopsy support The application supports in annotating images for targeted MR/US-fusion biopsies and seamless information transfer to the urologist. Efficiency is gained as the AI-Rad Companion automatically segments the prostate gland, typically a tedious and time-consuming manual task. The radiologist can additionally mark potential targets for biopsy, reducing the risk for information loss. This may foster collaboration between the radiologist and the urologist.
AI-Rad Companion may help you to increase precision and speed up your workflow
We developed the AI-Rad Companion to help you cope with a growing workload to be able to focus on complex clinical cases. With its deep learning algorithms, AI-Rad Companion automatically highlights abnormalities, characterizes anatomies, and compares results to reference values.
Discover how AI-Rad Companion supports you as a full-time radiology expert
Smooth integration of artificial intelligence into the radiology environment
AI-Rad Companion may be fully integrated into the image interpretation workflow and helps you to handle your daily workload with greater ease.
AI-Rad Companion Chest CT
AI-Rad Companion Brain MR
AI-Rad Companion Prostate MR
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1The Royal College of Radiologists. Clinical radiology, UK workforce census 2018 report. London: The Royal College of Radiologists, 2019.
2Berlin L (2007): Radiologic Errors and Malpractice: A Blurry Distinction.
3Lee C, Nagy PG, Weaver SJ and Newman-Toker DE: Cognitive and System Factors Contributing to Diagnostic Errors in Radiology.
4Berlin L: Faster Reporting Speed and Interpretation Errors: Conjecture, Evidence, and Malpractice Implications.
5AI-Rad Companion Brain MR is pending 510(k) clearance, and is not yet commercially available in the United States and other countries.
6AI-Rad Companion Prostate MR is pending 510(k) clearance, and is not yet commercially available in the United States and other countries.