Post-treatment RT dose validation doesn't have to feel like a physics problem. Atlas displays aggregate DVH deltas, trends, and outliers. Open access is now live for a limited time, and yes, it's free. Sign up here → forms.gle/S2urPduJ3cDCtJ…
Open Access is still open - try out the DVH + constraints analysis tool we've built with radoncs and physicists around the world. Learn more at aitriumos.com/products/atlas
Sometimes the weight doesn’t move easily. Thats ok- if it did you wouldn’t learn anything
We've heard it many times: "We're interested in insights about how different centers treat patients, but reluctant to share our data." Atlas solves this problem by keeping your patient data local while aggregating DVH insights. Try it free today: | aitriumos.com/products/atlas
We are looking for people wanting to test @AitriumOS new products. If you want to analyse your DICOMRT data in an efficient way, let me know and read the below post. First come, first serve! aitriumos.com/blog/beyond-pl…
Gamma is essential, but analyzing the delivered dose has historically been more trouble than it's worth for time-strapped clinics. With Atlas, we're looking to change that. Learn more about it at our blog: aitriumos.com/blog/beyond-pl…
Check out our latest blog post: Beyond planning: validating what we actually delivered aitriumos.com/blog/beyond-pl…
Modeling electron scatter in complex geometries is tough work. Harnessing the power of your data doesn't have to be.
Medical physicists play a crucial role in all RadOnc practices. Many don't realize that their role also includes scripting, programming, and managing the TPS. With Aitrium, we've set out to streamline their tasks and allow them to focus more time on patient care and research.
Agentic AI has taken the world by storm in the past year, but privacy regulations cap adoption in healthcare. We've developed our suite of tools for use with local agentic AI for RadOncs to manage patient data more efficiently than ever before, securely and behind the firewall.
Still manually uploading DICOMs or reviewing plans one by one? Aitrium ⚙️ standardizes data 📊 streamlines QA & benchmarking 🤖 runs local AI models — no cloud, no delays Built for any hospital with a radiation therapy department. Get in touch at [email protected]
With Aitrium, including RTQA doesn't have to be a threat to your trial timelines any longer thanks to: ✔️ Reduced submission timelines ✔️ Automatic validation & standardization ✔️ Proactive analysis of data adherence Get in touch to learn more.
AitriumOS now includes a free RTSTRUCT standardizer that: Flags missing or mislabeled structures Validates naming consistency Simplifies aggregate analysis ✅ Locally deployed ✅ Free for health systems ✅ Built for clinical research Get in touch to give it a shot!
Most researchers are still de-identifying DICOMs with python scripts and physicist hours. Would anyone be interested in testing out @AitriumOS? 🖥️ Local, auditable, easy-to-use 🚫 No cloud, no DTA reqd 🙌 Built for any user, not just engineers Shoot me a DM! Let's chat
New Blog Post: Making Radiation Therapy Review Standard in Oncology Trials aitriumos.com/blog/making-ra…
New blog post coming soon. It's time to start reviewing RT plans at scale.
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