RedBrick AI is a platform that provides medical data annotation services, focusing on radiology. It simplifies the process of generating training datasets for AI by offering collaborative tools and customizable workflows.

RedBrick AI

RedBrick AI | 2,159 followers on LinkedIn. Rapid &amp; Collaborative Medical Data Annotation | Teams building medical imaging AI use RedBrick AI to build high quality training datasets.

The RedBrick AI platform offers high-performance web tools to annotate your medical datasets including CT, MRI, Ultrasound scans etc. The platform offers configurable quality control workflows to enforce high quality standards.

Software Engineer at RedBrickAI

Nitish Puri

Author | HR Leader | People Success | Nurturing Talent | Enhancing Employee Vibes | Team Builder & Scalability Expert | Strategic HR Partner |…

Sneha Sreekumar

CTO, Co-Founder at RedBrick AI (YC W22)

Derek Lukacs

Founder, CEO @ RedBrick AI

Shivam Sharma

📣 UPGRADE ALERT - calling all annotation teams! 🤖 Fully automated segmentation solutions are all the rage in the world of radiology AI, and no small wonder - the capacity to digest entire pools of scans and automatically produce highly accurate annotations in bulk is changing the global annotation landscape and accelerating workflows everywhere, given access to the necessary models and resources. 👍 Fortunately, a variety of open-source solutions exist, even if they require quite a bit of know-how when it comes to setup and execution. 👍 👍 Fortunately-er, you can now access them directly on RedBrick to automatically segment hundreds of new structures. Harness the power of over a dozen models in one package to create lung vessels, head & neck structures, bones, muscles and more! 🔜 This latest expansion to our CT Segmentator (now with MR support!) is the first in many upcoming announcements regarding Boost. Yes, this is foreshadowing. 💪 Reach out to us for more information about how your team can leverage RedBrick AI's CT Segmentator for your ongoing / upcoming annotation efforts.

Q3 ended on several high notes here at RedBrick AI as we added many new features to the ensemble designed to make the platform more intuitive, more robust, and more customizable than ever! As always, you can catch the highlight reel below and find our full Product Updates post at the bottom: ⚡ Mask Propagation Tool Powered by SAM2, Mask Propagation is the latest addition to the Segmentation Toolkit and is showing extraordinary results for 3D ROIs. Interested to see how quickly you can turn a single slice into dozens, or hundreds? Reach out to us for more information! 📄 Document Viewer Among our many updates designed to make the Editor look and feel even more like your favorite PACS / DICOM viewer, the Document Viewer allows you to bring radiological reports, AI-generated clinical summaries, and much more to provide critical context without having to rely on Task or Series metadata anymore. 🚫 Read-only Labels As the name suggests, users can now upload labels as read-only, completely preventing any sort of modifications within the RedBrick Editor. However, we didn’t stop there - if you need granular control over which users can or cannot modify read-only labels, we built that in too. 🆕 Customizable Hotkeys Ever wanted to configure your RedBrick experience to match your favorite PACS viewer? Now you can! We've also added tons of other shortcuts throughout the platform to make navigation easier than ever. ↕ Study Selector A new layer of verticality has been added to the Editor with our Study Selector, which automatically filters out DICOM files and provides an easy-to-navigate interface to traverse your scans in a way that respects their hierarchy. ...but that's not all! Check out our full Product Updates to get more information and fancy eye candy about all of the above and more: https://lnkd.in/eiZpi4v2

☀ Summer is officially over and we've got big plans for the end of Q3! In the meantime, here are a few spoilers about what we've been up to since our last full Product Update. ⬆ More verticality in Project structures Our brand new Study Selector allows users to group Studies together in the Annotation Tool, and working with longitudinal studies and multiple timepoints is easier than ever! 🔗 Label linking You can now logically group existing Object Labels in the Annotation Tool such that they will share a common link ID upon export. 🆕 New format alert! You can now upload MHD and MHA files to RedBrick with the latest version of our SDK. 🔢 Improved maximization / minimization of viewports If you, like Freddie Mercury, ever said "I want to break free... of the 2x2 grid while maintaining granular control over which viewports are maximized or minimized, irrespective of how many viewports I am working with." Good news - now you can! That's all for now, but keep your eyes out for the next release. For those who read our change log, yes there's an Easter 🥚 in there, but no spoilers from us. 🤐

Our latest batch of Product Updates is live and we're definitely closing summer on a high note at RedBrick AI! As always, find a short summary below and the full version here - we hope you love what we've built: https://lnkd.in/eGC46XWr ⚡ 3D F.A.S.T. While "2D F.A.S.T." could be used to generate 3D annotations via interpolation, you can now generate a cuboid around an ROI in 3D and annotate it with just one click! ☑ Worklists For users who want an even more PACS-like experience, we have built the Worklist - a user-specific list of all of your outstanding "to-do's" on RedBrick. Easily keep track of your progress, get granular with your caching, and more! 📊 Project & Task Analytics Yes, it's finally here! Now Project Admins (and above) can use Project & Task Analytics to instantly get time-based reporting information about your Project Workforce. Task Analytics also allow you to keep tabs on any specific Tasks contents (i.e. annotations), labeling/review history, and more! 👥 Taxonomy Duplication This highly-requested feature was always intended to be a one-button solution, and now it is! Creating a perfect copy of any Taxonomy in the UI is here, so no more copying over dozens of pesky Object Label Attributes! ...and that's not all! Check out the link above (and the changelog!) for a comprehensive review of what's new at RBAI.

Our latest and greatest Product Updates are now live! It's been an intense second quarter here at RedBrick and we're very excited to showcase the exciting new features we managed to roll out since RedBrick 1.0 went live. You can catch a quick summary below, or read the full version here: https://lnkd.in/eD5Nz5SM 🌈 Heatmap Visualization Heatmaps, perfusion maps, radiotherapy maps - you name it, RedBrick now supports is as an additional overlay on top of your images and segmentations. Effortlessly define the required color gradients for your scalar volumetric data to achieve a new level of data visualization and clarity. 🗄️ Sections Ever wanted to logically categorize your many RedBrick Projects and Workspaces into a structured set of collapsible lists? Now you can! We imagine Marie Kondo would approve.* *We didn't reach out to Marie Kondo, but we hope the feature sparks joy all the same. 🌟 AltaDB 1.0 AltaDB is officially out of beta and we couldn't be prouder! If creating RedBrick JSON with a single click and experiencing 7-10x improved loading times for your DICOMs sounds appealing, please reach out to us! 💪 Segmentation on 2D DICOM Videos Ever wanted to leverage the power of RedBrick's segmentation toolkit on a 2D DICOM video? Have the Adaptive Brush, Edge Selection, and Contour Tool available? Now you can! 🎥 Cineloop For those of you searching for a more video player-like experience on 3D volumes, we built that too! Now it's easier than ever to apply classifications and 2D & interpolated annotations to 3D volumes. 🚀 AWS Transfer Acceleration Support For anyone hoping to leverage the benefits of their AWS Transfer Acceleration endpoints, the time has come!

⚡ Unlock the Power of Automated Segmentation with CT Segmentator⚡ At RedBrick AI, we’re excited to present our latest guide on the CT Segmentator for healthy abdominal organ segmentation. This tool automates the segmentation of up to 117 classes in CT images, significantly enhancing efficiency in AI and radiomics projects. Discover how the CT Segmentator can streamline your workflows and boost productivity. Read our comprehensive guide now: https://lnkd.in/dB2-Sd6A For a hands-on experience with the RedBrick AI platform, request a demo or free trial at redbrickai.com .

James Morales and Ben Stewart will be representing us at the SIIM 2024 Annual Meeting, June 27-29 at the Gaylord National Resort & Convention Center! Be sure to swing by Booth 206 to learn more about how RedBrick AI can revolutionize your annotation workflows: https://lnkd.in/eV8Dcfc9 Register for #SIIM24 Today! https://lnkd.in/edHvFvJh See you there!

⚡ Explore How F.A.S.T Can Reduce Your Annotation Time ⚡ At RedBrick AI, we present our latest findings on the automated segmentation of liver tumors using F.A.S.T, powered by Meta AI’s SAM. This tool significantly reduces annotation time, providing quick and reliable segmentations, enhancing efficiency compared to traditional methods. Experience how F.A.S.T can streamline your annotation process in medical imaging tasks. Read our comprehensive guide now: https://lnkd.in/ghAUpq9B For a hands-on experience with the RedBrick AI platform, request a demo or free trial at redbrickai.com .

In this case study, we spotlight a RedBrick AI customer, Annalise.ai , who is at the vanguard of radiology AI with their comprehensive AI algorithms for "assignment," "assistance," and "assurance." Annalise.ai 's core differentiation comes from its focus on comprehensive algorithms that can provide deep and broad assessments of medical images. Their CXR and CTB products are industry-leading and widely used in the community. In this case study, we discuss how RedBrick AI helps Annalise.ai create high-quality training data. "RedBrick AI is really integral to how we develop AI at Annalise.ai . It allows us to label all of our data in a comprehensive and efficient manner, and also save time using the automatic segmentation functions" - Jarrel Seah. https://lnkd.in/eYzZyJgf .

A great article on our joint efforts with RedBrick AI in revolutionizing neurovascular and vascular care. Read about our combined mission in enabling faster and more accurate diagnoses for life-threatening conditions like stroke. Thanks for the spotlight, and we’re excited to see how RedBrick AI can help us and the future of healthcare, evolve!

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