imaging data
We are extremely happy to have a third sponsor on board for our ASL Network Dinner 2024 in Singapore: Quantified Imaging.
A warm welcome to Professor Michael Chappell and Dr Tom Kirk who span out their company from the University of Nottingham in 2023.
To register for the event, please click here.
More info on the sponsors: mediri, Gold Standard Phantoms, Quantified Imaging
We see a rapidly increasing need for medical imaging in clinical trials and in the development of standardized imaging biomarkers. In 2022, more than 1900 clinical trials were registered in Germany. In many of them, medical imaging is used in as a primary, quantitative and surrogate biomarker.
New AI developments across the healthcare industry, with radiology at the forefront, continue to increase the need for medical imaging core lab services.
As an Imaging CRO and Core Lab, we make your image-based clinical trials more efficient, faster and safer. This is especially important when it comes to multi-center studies that place high demands on comparability of image data.
Contact us to discuss our medical imaging solutions for reliable clinical trial results.
The countdown is on: The final year of our DeepRAY project has begun. Together with our partners at Universitätsmedizin Mannheim we are working to integrate our WHITEBOX into the clinical workflow of routine abdominal CT scans. We will screen the patients for aortic aneurysms and dissections with AI-based algorithms (what else?).
The WHITEBOX enables easy and secure DICOM image transfer between the PACS and external server clusters for fast image analyses and notification of clinical staff.
First milestones are achieved: the WHITEBOX is a PACS node of the research PACS and retrospective data analysis can be performed easily. Now we are aiming to install our system in the clinic PACS for prospective evaluations.
The project DeepRAY is funded by the German Ministry of Education and Research.
We proudly announce the release of our new mTRIAL version. For the first time it incorporates a webbased comprehensive DICOM image viewer for platform independent and real time access of clinical trial data. Central read workflow planning and execution has been upgraded for even more reliable and efficient review of radiological data. mTRIAL 3.4. – ready to support your next image based clinical trial.
