Toward interpretable AI for breast cancer screening: Analysis of 210K revealed bilateral dissimilarity as a key imaging marker, closely matching the predictive power of a black box AI model.
#RadInTraining # Tweetorial #AI

@Radiology_RSNA, Victoria Chernyak, MD MS FSAR FESGAR FACR @ LindayMoyMD Rad In Training Editor

🧵2/8 This #TWEETORIAL is based upon a new publication from Roman Johannes Gertz Jonathan Kottlors #RadInTraining #TWEETORIAL DOI:pubs.rsna.org/doi/10.1148/ra… Victoria Chernyak, MD MS FSAR FESGAR FACR

🧵1/8 Have you ever dictated lipoma only to have it transcribed as lymphoma? Did you embarrass yourself on a phone call trying to explain that the lesion is actually in the left lung, not the right, as per your dictation? Can ChatGPT help?Read on Rad In Training Editor Radiology

Performance of DL models for predicting preinvasive, minimally invasive, or invasive lung adenocarcinoma was improved by combining binary and ternary classification models for predicting invasiveness and adjudication of discordant classification. bit.ly/49oR6Tq

Another great meeting bringing together the members of #RadInTraining Editorial Board! #SAR24

Samuel Jang, MD #AssociateEditors

Victoria Chernyak, MD MS FSAR FESGAR FACR Rad In Training Editor

Apply to become one of our stellar #RadInTraining editorial board members - learn how to become an amazing scientific reviewer, how editorial decision for Radiology are made & how to amplify great research on social media. Take advantage of this unique opportunity!

You are reading this chest CT: how would you report these findings?

🚨After the previous 1984,1996 and 2008 editions, an updated Fleischner Society GLOSSARY OF TERMS FOR THORACIC IMAGING was just published in Radiology
doi.org/10.1148/radiol…

A #RadInTraining #Tweetorial

🚨 Read the full article in Radiology at
pubs.rsna.org/doi/10.1148/ra…

#RadInTraining Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR Linda Moy @RadiologyEditor

Check out also the editorials:
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Excellent summary of Radiology study which assessed performance of #AI algorithms (one whose mechanism of assessment is known vs typical black box AI) in #breast #cancer screening

I'm so proud of the terrific resources the Radiology team is creating on behalf of our journal authors! Bookmark the Radiology Behind the Scenes blog if you're interested in scientific/medical publishing! pubs.rsna.org/page/radiology…

#RadiologyMadness presented by #RadinTraining

Region 2 First Round Matchup

Diagnosis 1 vs Diagnosis 8

VOTE BELOW!

Thank you for sharing your insight with #RadInTraining members!

📝 A comprehensive, informative session by Felipe C. Kitamura, MD, PhD Felipe Kitamura on #RSNA AI Challenges paired with a great follow-up discussion!

#RadInTraining Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR
@RadiologyEditor Linda Moy

#RadiologyMadness presented by #RadinTraining is back for another exciting tournament!

Last year’s top 32 diagnoses competed to decide the best Images in Radiology diagnosis of 2023.

Keep an eye out for this year’s matchups, voting starts on Tuesday, March 19 at 9 a.m. CT.

News from #DISCHARGE trial: Zero CAC score holds prognostic value, even in symptomatic patients. Radiology Rad In Training Editor Victoria Chernyak, MD MS FSAR FESGAR FACR Marc Dewey @DISCHARGEtrial Jonathan Dodd UCD Medicine Federico Biavati Luca Saba Team Dewey Charité - Universitätsmedizin Berlin
doi.org/10.1148/radiol…

#RadInTraining

The February issue of Radiology (Radiology) is now online! bit.ly/3vgwVqj #Radiology

An excellent 2 min summary of an important trial assessing prognostic value of CAC score in symptomatic patients @VitaiKoch

TY for this excellent summary Enis C. Yilmaz, MD ! HIFU is an excellent option for targeted treatment of #prostate cancer
Radiology Linda Moy

10/11
📝 Study summary:
🔹MRI-guided ultrasound offers a non-invasive option for intermediate-risk prostate cancer.
🔹High success rate in cancer-free outcomes at 2-year follow-up.
🔹Quality of life preserved post-treatment with no significant adverse effects.

Great summary of an interesting study! Thank you Arsalan

Button line: LR-M features (targetoid and nontargetoid) portend worse outcomes!