Azadeh Tabari

Radiology Faculty, Innovation Analyst @HarvardMed @MGHimaging @MGBInnovation | Medical Artificial Intelligence

[Azadeh Tabari @Azitabari]

@netanyahu תודה מכל הלב שלנ 💚🤍❤️

[Azadeh Tabari @Azitabari]

@DrNeilStone gosh we'll never forget how you supported us! thank you 💚🤍❤️

[Azadeh Tabari @Azitabari]

@DrEliDavid never been happier!!

[The New Yorker @NewYorker]

As the Iranian regime imposes a forced forgetting of the massacres in January, it has begun targeting not only wounded protesters but medical workers, who have borne witness to some of the worst atrocities. https://t.co/ZYA12KWwdn

[Azadeh Tabari @Azitabari]

@DrNeilStone @MSF You've always done the right thing 👏
i've been a lifelong donor to @MSF but not anymore

[Neil Stone @DrNeilStone]

I wonder if if anyone inside Iran sees my posts, if they can connect at all.

If you are there and see these, I hope they give you a little encouragement.

At least just to know that you are not alone.

Free Iran!

[Azadeh Tabari @Azitabari]

@RihardsKols @PahlaviReza Thanks to you and @SebastianTyne for your support, we will remember 🤍

[Azadeh Tabari @Azitabari]

@DrNeilStone 💚🤍❤️ thank you

[Azadeh Tabari @Azitabari]

@ParsaTajik @SuranTheGreat Thank you Parsa jan 🤍

[MIT Jameel Clinic for AI & Health @AIHealthMIT]

1 in 3 adults have varicose veins, putting them at risk of chronic venous insufficiency. A new interpretable AI model focuses risk assessment of endovenous thermal ablation, one of the main treatments for CVI that can cause complications like blood clots: https://t.co/tWuN2vdZf4

[Azadeh Tabari @Azitabari]

🧠What if your risk score came with a why?
Our interpretable model can predict if and why a patient is at risk of DVT after undergoing EVTA.

Personalized, explainable, actionable.
Read more DOI: 10.1016/j.jvsv.2025.102253
@yuma_or @hayfarani @dbertsim @DaniaDaye @AIHealthMIT

[Radiology Business @RadiologyBiz]

Reducing MRI scan times could add thousands of exam slots, generating up to $22 million in new revenue per practice. @radiology_rsna @RSNA @SiemensHealth @SeanWoolenMD @UCSFimaging @xrayimagingamy @SusieHuangMDPhD @Azitabari @KateHanneman @Voss_MD @NeuroDx https://t.co/l8FhAfMvHN

[Radiology @radiology_rsna]

Woolen et al measured the energy expenditures during specific MRI protocols on different field-strength magnets. Read on to see the results! #RadGoesGreen @UCSFimaging @SeanWoolenMD @KateHanneman @SusieHuangMDPhD @Azitabari @Voss_MD @NeuroDx https://t.co/LAyaLV0ZCM

[@RadiologyEditor @RadiologyEditor]

Can faster MRI be greener too? 🌍🧠 This study by @SeanWoolenMD @KateHanneman @SusieHuangMDPhD @Azitabari @Voss_MD shows how acceleration cuts energy use, emissions, and costs, while boosting capacity. A smart, sustainable win! #LowCarbonMRI #Radiology
https://t.co/FJtfsZCLDP

[Antje Hellwich @antjehellwich.bsky.social @AntjeHellwich]

Scout-Accelerated Motion Estimation and Reduction (SAMER) for #Pediatric Brain #MRI by @Azitabari, et al. (@MGHMartinos).
Learn more at https://t.co/NADZWn63cZ

#magnetomworld #MoCo #MotionCorrection
Big thank you to @MinLangMD @drjohnconklin @Mike_Gee8 @SusieHuangMDPhD et al

[Dania Daye, MD PhD @DaniaDaye]

Coming a full circle 10 years later - I was mentored by ⁦@PennRadiology⁩ #MitchSchnall for my first ⁦@RSNA⁩ medical student grant in 2013 and today I am mentoring ⁦⁦@Azitabari⁩ on her first ⁦#RSNA23 grant.

[Azadeh Tabari @Azitabari]

@_neguine_ ❤️

[Azadeh Tabari @Azitabari]

Thank you @RSNA for the prestigious Seed Grant award and my first funding as a PI!

And huge thanks to my forward-thinking mentors @DaniaDaye and @Mike_Gee8 for always leading with integrity, empowerment and wisdom.

[Dania Daye, MD PhD @DaniaDaye]

Great to see everyone at the #rsna23 PIMI lab dinner. Lots of firsts this year: first ⁦@RSNA⁩ oral presentation for ⁦@TarigElhakim⁩ and first @rsna grant for ⁦@Azitabari⁩! Proud mentor! ⁦@DeeviaKotecha⁩ ⁦@DrJZed⁩ ⁦@Satvikt_ai⁩ ⁦@drShakMD⁩

[Max Tegmark @tegmark]

We build a lie detector for large language models and show that they represent uncontroversially true and false sentences on opposite sides in a linear space. This is IMHO further evidence they they’re not just overhyped “stochastic parrots”: