MD.ai

Where doctors build AI, from data to the clinic.

[MD.ai @md_ai_]

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🔐

[MD.ai @md_ai_]

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.

[SIIM @SIIM_Tweets]

(2/2) Thank you to our #SIIM23 Bronze Sponsors! https://t.co/USEFvG5gwt
@md_ai_ @Nuvodia @PACSHealth @PCPImaging @radai @radloophealth @RedRickTech @SiemensHealth @Softneta @SornaCorp @SSTGroupinc @TIMSMedical @LaurelBridge @lyniate

[MD.ai @md_ai_]

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.

[Dr. William Parker @williamaparker]

This multi-year research collaboration has evolved into a powerful clinical tool. Thank you @CICUBC @awscloud @VCHResearch and @VIradiology for the support.

[MD.ai @md_ai_]

Great work! Glad we could contribute in a small way to this massive effort.

[Hari Trivedi @HariTrivediMD]

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

[Oliver Cameron @olivercameron]

🩻 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.

[MD.ai @md_ai_]

@obenfine @FelipeKitamura On @md_ai_, it's currently private.

[MD.ai @md_ai_]

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:

[Felipe Kitamura @FelipeKitamura]

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 Healthcare @NVIDIAHealth]

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

[Curt Langlotz @curtlanglotz]

Hot off the press: Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging https://t.co/fJLdW7el2F

@NatMachIntell @rohanshad @euanashley #JohnCunningham #WillHiesinger @StanfordAIMI #RSNA21

[Radiology: Artificial Intelligence @Radiology_AI]

CANDID-PTX is a large CXR dataset with segmented annotations https://t.co/zXWc0g3YCR @DSMOtago @AucklandUni #ptx #AI #MachineLearning

[Radiology: Artificial Intelligence @Radiology_AI]

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

[Matthew Lungren MD MPH @mattlungrenMD]

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

🥳

[MD.ai @md_ai_]

We are excited to introduce https://t.co/Jo4FpaKWMm Ox 🐂 to help easily manage annotation projects and seamlessly collaborate with your team

https://t.co/X5PPKqIpID

#machinelearning #ai #aiinhealthcare #radiology #datalabeling

[MD.ai @md_ai_]

How do we make important annotation work more fun? Check out our intern, Kevin Xie's creative summer project #kudos #aiinhealthcare #datalabeling #annotation
https://t.co/59pLSGnuBT

[MD.ai @md_ai_]

What our users say about us!
#MedicalAI #Radiology #AI #MachineLearning

[Paras Lakhani @ParasLakhaniMD]

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