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Congratulations to our DeepRAY project partners at Universitätsmedizin Mannheim for publishing a paper on „Streamlining Acute Abdominal Aortic Dissection Management“ based on an AI-based CT Imaging Workflow.
Within this InvestBW project funded by the Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg, we will integrate the presented algorithm into mTRIAL and analyse the benefits of automatic AI-based image analysis on fast external servers for clinical routine and patient management.
Last week, the first workshop in the BosomShield project was hosted by the IBIB PAN (Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences) in Warsaw.
Our Ph.D. candidate, Yaqeen Ali, presented his achievements towards federated learning approaches for breast cancer classification. The entire workshop discussion focused on how AI is shaping medical imaging, particularly in breast cancer. We would like to express our gratitude to IBIB PAN (https://ibib.pl/en/) for organizing this inspiring session.
More information on the Marie Sklodowska-Curie Doctorate network Bosomshield: https://bosomshield.eu/
We cordially invite you to join the next ASL Network Dinner which will take place as usually in conjunction with ISMRM – this time in Singapore. mediri and Gold Standard Phantoms are looking forward to be your host on the evening of Sunday, May 5th in the Neon Pidgeon.
Meet leading experts as well as interested newbies in the research field of Arterial Spin Labelling and enjoy free drinks and food. See you there!
Don’t forget to register here.
Recently, a newspaper article about our project BOSOMSHIELD got mentioned in the newspaper echo-online. If you want to know more about the importance of our work and how we want to improve the field of breast cancer, you can read the article down below.
Today is International Day of Radiology to promote the seismic impact of radiology on medicine – earlier detection, fewer surgeries, and game-changing treatment outcomes. Analyzing radiological images in multi centric clinical studies can be challenging considering standardization and patient data privacy.
Mediri is constantly evolving its image data management platform mTRIAL for secure and reliable central reads in clinical studies. Currently, mTRIAL is getting ready for RANO 2.0 evaluation of low- and high-grade gliomas according to the recently published update by Wen et al. Stay posted.
New office. New Neighbours. New view.
It’s done! We have offically moved to Am Taubenfeld 21/1 in 69123 Heidelberg.
Klinische Forschung neu denken: Vom Patienten bis zur KI.
We proudly announce that the ASPIRE team has a new member: Darmstadt University of Applied Sciences joins the consortium and brings in expertise for AI-based brain image analysis and atlas creation. Together we will establish a platform independent dementia diagnosis support based on arterial spin labeling images.
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.
If you have two minutes, take a look at this aerzteblatt article about artificial intelligence that is mentioning mediri and the DeepRAY project.