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🔐
Come see us at @SIIM_Tweets Annual Meeting to learn more about https://t.co/Jo4Fpb360u 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.
https://t.co/Jo4Fpb360u 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.
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
https://t.co/kjHssxhdJ6
🩻 We know AI can dramatically improve detecting health issues in medical imaging, and @md_ai_ is where that AI is being built.
With @md_ai_, you can create or browse the best medical datasets in the world, and then train and deploy state-of-the-art medical ML models.
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
https://t.co/PxNlikYy0s
NVIDIA Clara medical #AI models can now run natively on https://t.co/oY2HiOQJSl in the cloud, enabling collaborative model validation and rapid annotation projects. Learn how to deploy pretrained models on https://t.co/oY2HiOQJSl: https://t.co/4S056zYXAR #RSNA21
Presenting a large pneumothorax segmentation dataset! Publicly available anonymized dataset of 19,237 pneumothorax segmentation images https://t.co/zXWc0g3YCR @DSMOtago@AucklandUni#ptx#pneumothorax#ribFx
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: https://t.co/7ONOjf8jyD
GitHub: https://t.co/rm4q8jgbIT
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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 https://t.co/YcjhyLdVa4, and excited to see data scientists work on this important topic. https://t.co/4fhrix0qNX