We are proud to be part of @EmoryUniversity Health AI Bias Datathon '23 and shed light on bias in medical imaging. Emory entrusted us with a massive 10TB of imaging data(~2M images), which was uploaded to our annotation and model deployment platform for pixel de-identification🔐
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Come see us at @SIIM_Tweets Annual Meeting to learn more about MD.ai Talk + #ChatGPT for Medicine, Annotator, Model Validation, De-ID, Education, and more, Jun 14-16 | Austin, TX
Find our team at Booth #732 or SIIM AI Open Source Playground.
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MD.ai retweeted
(2/2) Thank you to our #SIIM23 Bronze Sponsors! ecs.page.link/iiRgT
@md_ai_ @Nuvodia @PACSHealth @PCPImaging @radai @radloophealth @RedRickTech @SiemensHealth @Softneta @SornaCorp @SSTGroupinc @TIMSMedical @LaurelBridge @lyniate
MD.ai Viewer is FDA-cleared as a Class II medical device for diagnostic use. The FDA clearance will help clinicians to have a consistent experience when engaging in clinical and research activities.
Please contact [email protected] for more information.
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MD.ai retweeted
This multi-year research collaboration has evolved into a powerful clinical tool. Thank you @CICUBC @awscloud @VCHResearch and @VIradiology for the support.
Great work! Glad we could contribute in a small way to this massive effort.
Excited to announce the @hiti_lab's release of the EMory BrEast Imaging Dataset (EMBED) on @AWSOpenData containing 20,000 women and over 500,000 mammographic images. @judywawira @ImonBanerjee6 @EmoryRadiology #breastcancer #AI
registry.opendata.aws/emory-…
You don't want your pneumonia models running on bone x-rays. Understanding high-level image content is important for building datasets, but also a crucial first step in successful medical AI deployment.
Check out the @kaggle competition:
NEW InClass @kaggle competition launched! Help a public Brazilian university deploy its #AI models to carry out AI validation by sorting body parts on X-rays. @unifesp @ddiunifesp @UNIFESP_Rad #dasa
kaggle.com/competitions/unif…
MD.ai retweeted
NVIDIA Clara medical #AI models can now run natively on MD.ai in the cloud, enabling collaborative model validation and rapid annotation projects. Learn how to deploy pretrained models on MD.ai: nvda.ws/3piDWCp #RSNA21
MD.ai retweeted
Hot off the press: Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging nature.com/articles/s42256-0…
@NatMachIntell @rohanshad @euanashley #JohnCunningham #WillHiesinger @StanfordAIMI #RSNA21
MD.ai retweeted
CANDID-PTX is a large CXR dataset with segmented annotations doi.org/10.1148/ryai.2021210… @DSMOtago @AucklandUni #ptx #AI #MachineLearning
MD.ai retweeted
Presenting a large pneumothorax segmentation dataset! Publicly available anonymized dataset of 19,237 pneumothorax segmentation images doi.org/10.1148/ryai.2021210… @DSMOtago @AucklandUni #ptx #pneumothorax #ribFx
MD.ai retweeted
Now you can try DL recon with ᴋ-ꜱᴘᴀᴄᴇ -> ᴅɪᴄᴏᴍ -> ᴄʟɪɴɪᴄᴀʟ ᴀɴɴᴏᴛᴀᴛɪᴏɴꜱ
We're working on new DL recon projects with 𝗙𝗔𝗦𝗧𝗠𝗥𝗜+ and are excited for your innovations too
paper: arxiv.org/abs/2109.03812
GitHub: github.com/microsoft/fastmri…
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We are excited to introduce MD.ai Ox 🐂 to help easily manage annotation projects and seamlessly collaborate with your team
medium.com/@kevinhsieh98/md-…
#machinelearning #ai #aiinhealthcare #radiology #datalabeling
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How do we make important annotation work more fun? Check out our intern, Kevin Xie's creative summer project #kudos #aiinhealthcare #datalabeling #annotation
medium.com/@kevinhsieh98/gam…
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MD.ai retweeted
The SIIM FSIABO RSNA COVID-19 chest X-ray challenge is live! Thanks to all the annotators for their effort, all of the organizers for their support, including MD.AI, and excited to see data scientists work on this important topic. kaggle.com/c/siim-covid19-de…
