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Navid Hasani Profile
Navid Hasani

@Navhasani

Followers
668
Following
480
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12
Statuses
299

MD MPH @UQMedicine @OchsnerHealth | Researcher @NIHRadiology | alum @UCI

Washington, DC
Joined July 2014
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@Navhasani
Navid Hasani
4 years
Today’s the RD day, opportunity to raise awareness for the 7000 RDs impacting more than 300M people #RareDiseaseDay #RDDNIH I’m excited to share this article on state of medical imaging AI and it’s impact on RD community https://t.co/eZyBmt5Oro @Faraz_Farhadi @MoozhanNikpanah
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pubmed.ncbi.nlm.nih.gov
Almost 1 in 10 individuals can suffer from one of many rare diseases (RDs). The average time to diagnosis for an RD patient is as high as 7 years. Artificial intelligence (AI)-based positron emission...
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@SNM_MI
SNMMI
3 months
Join @Faraz_Farhadi, MD and @Navhasani, MD as they discuss solutions to recruiting nuclear medicine physicians and expanding the pipeline of trainees. Listen Here: https://t.co/u3DxE4i1nE
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@Navhasani
Navid Hasani
5 months
It was a privilege to present our research comparing #HCC outcomes of #Y90 w/ personalized dosimetry vs. DEB #TACE during Ochsner Research Week. This also marks the end of a very rewarding postdoc fellowship. Grateful to Drs. Thevenot and Nunez for their mentorship and support!
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@IRKhalsa
Raj Khalsa, MD, MBA
6 months
🚨 NEW IR RESIDENCY POSITION — 2025 START Harbor-UCLA Medical Center has received approval for 1 Independent Interventional Radiology (IR) residency position (outside the Match) starting July 1, 2025. 📆 Deadline to apply: April 28, 2025 📩 Apply directly via email (below) 📍
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@TylerTrent1222
Tyler Trent
7 months
Really curious to see how this plays out and what the future of Qbanks look like for USMLE prep🤔 #MedTwitter
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@Navhasani
Navid Hasani
7 months
Beyond excited to join @StanfordRad next year! Special thanks to my family, friends and mentors who made it all possible #Match2025 #radres
@StanfordRadPD
StanfordRadiologyPD
7 months
We're so excited for our newest residents to join the Stanford Radiology family! Welcome and see you in 2026! #Match2025 #radiology #radiologymatch
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@Dx_imaging
Diagnostic Imaging
1 year
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@Navhasani
Navid Hasani
1 year
Had the honor of presenting a very rare case of pneumopericardium in the settting of chronic NSAID use at Ochsner Research Day! @OchsnerHealth @UQMedicine #Pneumopericardium #Cardiology #MedicalImaging #ResearcDay24
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@Navhasani
Navid Hasani
1 year
Great work!! Very important discussions that can be applied to many AI algorithms developed for use in healthcare and medical imaging
@ArmanRahmim
Arman Rahmim
1 year
Our @SNM_MI AI Task Force efforts for best practice guidelines for #AI algorithm evaluation: https://t.co/vh5OrZsDKP (Jha et al.) now recognized by @JournalofNucMed, incorporated as recommendations to consider by authors; e.g. to include a precise claim: https://t.co/9mC31TwNI2
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@Navhasani
Navid Hasani
2 years
Many Congrats @Faraz_Farhadi !! You’re one of the most hard working people I know and deserve all the best!
@Faraz_Farhadi
Faraz Farhadi
2 years
Very excited to join the @mghradchiefs!couldn’t have done it without the unwavering support of @MoozhanNikpanah, my family, and friends. Many thanks to all my mentors for their guidance along the way!
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@ERASinfo
ERAS
2 years
Will you be applying to residency for the 2025 ERAS season? We have great news for you: the AAMC has established a new simplified ERAS residency fee structure. Read more: https://t.co/i0Ky2CGp4O
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@ArmanRahmim
Arman Rahmim
2 years
"Metabolic tumor volume predicts outcome in advanced stage follicular lymphoma from the Relevance trial" by Cottereau et al. @Annals_Oncology Baseline PET/CT TMTV is a strong prognostic factor of outcome; SUVmax not predictive! https://t.co/fn4Iypk20Q Let's automate TMTV!
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annalsofoncology.org
We investigated the prognostic value of baseline positron emission tomography (PET) parameters for patients with treatment-naïve follicular lymphoma (FL) in the phase III RELEVANCE trial, comparing...
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@Navhasani
Navid Hasani
2 years
Congrats, Amir!! Keep up the good work
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@Navhasani
Navid Hasani
2 years
Congratulation Faraz! Keep up the amazing work
@Faraz_Farhadi
Faraz Farhadi
2 years
Grateful to my mentors, colleagues and friends for their invaluable support. @babaksaboury , ElizabethJones, Pooyan Sahbaee, @EhsanSamei , @NIHRadiology @ErenVeziroglu, @JRRajagopal23 https://t.co/YMDn1PfyIs
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@aryakishor_
Arya Kishor OMSIV 🦾
2 years
This was my “Barbie & Oppenheimer”
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@Navhasani
Navid Hasani
2 years
Had a blast at Chicago #SNMMI23! Presented our recent work on #ArtificialIntelligence and #lymphoma, while geeking out over #theranostics @babaksaboury @Faraz_Farhadi @ElizabethTheng @A_sheppard9 #SNMMI23 #NIH #radiology #AI
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@FYazdanpanah90
Fereshteh Yazdanpanah, MD, MBA
2 years
Pleased to present our collaborative poster @SNM_MI with @HoushiShakiba, @MahdieHosseini6, @FrnkEbrahimian, @SaraBagherieh, @EricTeichner focusing on the use of machine learning models and radiomics features for detecting Prostate Cancer. @PennRadiology @YaleRadiology
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@skeletalrad
Angel Gómez-Cintrón, MD, MPH
2 years
I’m a radiologist because patient care is my priority and every patient has a life-saving story that can only be seen through the eyes of specialized imaging. Imaging that takes immense expertise to produce and interpret. Radiology - Shedding light from a dark room since 1895.
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@EmmyRads
Emily Barnard, MD
2 years
There are 3 main pathways to becoming an interventional radiologist! 🔘Integrated interventional radiology 🔘Independent interventional radiology 🔘Independent interventional radiology with ESIR #TwittIR #IRAD #IR #RadTwitter #futureradres #MedTwitter #MedStudentTwitter #IamIR
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@Faraz_Farhadi
Faraz Farhadi
3 years
New publication from our team @babaksaboury @ParavastuSriram in collaboration with @NIDCR @AlisonBoyceMD, in @NEJM. Safety and efficacy of Denosumab (a RANK-L inhibitor) for FD of bone using 18F-NaF PET
@AuntMinnie
AuntMinnie.com
3 years
The @NIH highlights PET imaging in study of rare bone disease #radiology https://t.co/qvqYYOWYHu
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@PennRadiology
Penn Radiology
3 years
Join us tomorrow, Tuesday, March 28th, at 12PM for Radiology Grand Rounds with Dr. Alur to discuss 𝐓𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐲 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠! #RadEd #CME
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