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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 03/05/2026

A comprehensive, machine-interpretable taxonomy of AI performance metrics doi.org/10.1148/ryai.260070 #ACR2026 #RadEcon #RadLeaders #radiology

Image from article in Radiology: Artificial Intelligence

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 02/05/2026

Supporting communication in Radiology AI with ROADMAP, a new ontology doi.org/10.1148/ryai.260069 #JPR2026 #radiologia #radiology

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Reposted by Charles Kahn

Ricardo Gonzales @ricardogonzales.bsky.social · 11/03/2026

2 papers published today in @radiology-ai.bsky.social! Medical AI needs more than better models. It needs infrastructure for machine-readable models, datasets and evaluation. 📝ROADMAP: doi.org/10.1148/ryai... 📝Metrics: doi.org/10.1148/ryai... Thanks to @cekahn.bsky.social et al!

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 18/01/2026

New commentary! Random convolutions for improving segmentation across different medical imaging domains doi.org/10.1148/ryai.251014 #ASPNR26 #PedsRad #NeuroRad #radiology

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 19/01/2026

Introducing the LumbarDISC Dataset, the largest publicly available adult MRI lumbar spine dataset for degenerative disease doi.org/10.1148/ryai.250480 @utah.edu #MedicalImaging #MSKRad #MachineLearning

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 19/01/2026

Breast Cancers Detected and Missed by AI-CAD: Results from the AI-STREAM Trial doi.org/10.1148/ryai.250281 #BreastCancer #mammography #ML

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Reposted by Charles Kahn

Charles Kahn @cekahn.bsky.social · 18/11/2025

It's been great to see @amia.org #informatics friends & colleagues in Atlanta! For those interested in #AI, come check out the Radiology: Artificial Intelligence journal (rsna.org/ai) and the journal blog, The Vasty Deep. #AMIA2025 #medsky

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 17/11/2025

New blog post! Pouria Rouzrokh discusses the implications of prompt injection attacks for peer review radiologyai.substack.com/p/ai-manip… #AI #ML #MachineLearning

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Charles Kahn @cekahn.bsky.social · 18/11/2025

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 17/11/2025

Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk doi.org/10.1148/ryai.240636 #LungCancer #cancer #MachineLearning

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 11/11/2025

With this new blogging platform, we look forward to creating a lively forum for exchange of ideas radiologyai.substack.com/p/the-vast… @cekahn.bsky.social @rsnasky.bsky.social #blog #radiology #MachineLearning

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 15/11/2025

New blog post! Pouria Rouzrokh discusses the implications of prompt injection attacks for peer review radiologyai.substack.com/p/ai-manip… #AI #ML #MachineLearning

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Reposted by Charles Kahn

Charles Kahn @cekahn.bsky.social · 30/06/2025

Looking forward to presenting information about the #ROADMAP initiative at the upcoming #EuSoMII25 meeting! eusomii-annualmeeting2025.com @myesr.bsky.social

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 30/06/2025

As AI in radiology transitions to #foundation models, dependence on expert annotations to prepare “AI-ready” datasets continues to evolve doi.org/10.1148/ryai.240631 @monganmd.bsky.social #LLMs #DeepLearning #MachineLearning

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Charles Kahn @cekahn.bsky.social · 30/06/2025

Looking forward to presenting information about the #ROADMAP initiative at the upcoming #EuSoMII25 meeting! eusomii-annualmeeting2025.com @myesr.bsky.social

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Reposted by Charles Kahn

Charles Kahn @cekahn.bsky.social · 18/06/2025

I'm immensely grateful to our Editorial Board, reviewers, authors, and readers for making @radiology-ai.bsky.social a success! 🌟Many thanks to the superb @rsnasky.bsky.social staff -- and a special shout-out to our Deputy Editors: Drs. Aboian, Hsu, Kalpathy-Cramer, Kontos, & Sebro 🌟

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Charles Kahn @cekahn.bsky.social · 18/06/2025

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 01/06/2025

#Dafne, a free, decentralized, collaborative #DeepLearning system for semantic segmentation of images through federated incremental learning doi.org/10.1148/ryai.240097 #ASCO25 #cancer #OncoRad #radiology

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 31/05/2025

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Reposted by Charles Kahn

Tugba Akinci D'Antonoli @tugbaakinci.bsky.social · 15/05/2025

Delighted to receive the Editor's Recognition Award with special distinction for @radiology-ai.bsky.social Special thanks to @cekahn.bsky.social @judywawira.bsky.social @merelhuisman.bsky.social @KMagudia and @radrudie.bsky.social Congratulations to all my fellow TEB members who were also awarded

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 28/05/2025

Sham-AI model acting as a placebo control for intracranial aneurysm diagnosis to mitigate biases doi.org/10.1148/ryai.240140 #ShamAI #DeepLearning #ML

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Reposted by Charles Kahn

Radiological Society of North America @rsnasky.bsky.social · 28/05/2025

The May issue of Radiology: Artificial Intelligence is now online! bit.ly/NewRadAI

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Reposted by Charles Kahn

Radiological Society of North America @rsnasky.bsky.social · 12/05/2025

The latest issue of Radiology Advances is now online! bit.ly/3F4pMke

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Charles Kahn @cekahn.bsky.social · 17/05/2025

This collection of #DataResources articles provides valuable #datasets and other resources for #MachineLearning researchers!

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Reposted by Charles Kahn

Radiological Society of North America @rsnasky.bsky.social · 14/05/2025

@cekahn.bsky.social, editor of Radiology: Artificial Intelligence, weighs in on how radiologists are harnessing the power of AI—while recognizing its current limitations. His insights highlight the critical role of expert interpretation in the age of AI. www.nytimes.com/2025/05/14/t...

nytimes.com

Your A.I. Radiologist Will Not Be With You Soon

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Charles Kahn @cekahn.bsky.social · 14/05/2025

Excellent article on #AI in #radiology by writer @stevelohr.bsky.social in today's @nytimes.com: 📰Your A.I. Radiologist Will Not Be With You Soon www.nytimes.com/2025/05/14/t... ... and appreciated the mention of @radiology-ai.bsky.social!

nytimes.com

Your A.I. Radiologist Will Not Be With You Soon

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 09/05/2025

Better Data and Smarter #AI: Automated Quality Control for Chest Radiographs doi.org/10.1148/ryai.250135 #QC #QualityControl #MachineLearning

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 10/05/2025

Open-source #AI language models achieved 90%+ accuracy in extracting structured clinical data from #radiology and #pathology reports doi.org/10.1148/ryai.240551 #DeepLearning #LLM #LLMs

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Reposted by Charles Kahn

How We Talk About Science @howwetalkabtsci.bsky.social · 04/05/2025

In our newest piece, we take a deep dive into how the NIH works, the effects of recent executive orders and cuts to funding, and what we stand to lose if current political interference remains unchallenged. Read it here: open.substack.com/pub/isabella...

open.substack.com

What It Would Mean To Lose the National Institutes of Health

In this piece, we provide readers with an in-depth explainer of what the NIH does and how its mission is being threatened by current political interference.

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Reposted by Charles Kahn

WHO @who.int · 25/04/2025

It’s #WorldMalariaDay The good news: 2.2 billion #malaria cases and 12.7 million deaths have been averted since 2000. The bad news: after years of steady declines, progress has stalled. bit.ly/MalariaDay2025

Since 2000, 2.2 billion malaria cases and 12.7 million deaths have been averted.

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Reposted by Charles Kahn

Radiological Society of North America @rsnasky.bsky.social · 22/04/2025

RadLex, a comprehensive radiology lexicon developed by RSNA, celebrates its 20th anniversary this year. bit.ly/4lGFHFK

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Reposted by Charles Kahn

Charles Kahn @cekahn.bsky.social · 10/04/2025

It's time to apply! We welcome applications for the @Radiology_AI Trainee Editorial Board from #radiology residents + fellows and from PhD students + postdocs in #AI related disciplines ➡️ rsna.org/education/tr... #MachineLearning #RadRes #DataScientist @rsnasky.bsky.social

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Charles Kahn @cekahn.bsky.social · 10/04/2025

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Reposted by Charles Kahn

Radiology: Artificial Intelligence @radiology-ai.bsky.social · 05/04/2025

Unsupervised Deep Learning for Blood-Brain Barrier Leakage Detection in Diffuse Glioma Using Dynamic Contrast-enhanced MRI doi.org/10.1148/ryai.240507 #NeuroRad #AI #ML

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Charles Kahn @cekahn.bsky.social · 16/03/2025

So.. not exactly my best Finish Line Happy Face 🥶 Beautiful but COLD day for a #LuckOfTheIrish #5K with 2" snow falling, 20 mph winds, running into the wind at the finish...

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Reposted by Charles Kahn

Charles Kahn @cekahn.bsky.social · 03/02/2025

When Doctors With A.I. Are Outperformed by A.I. Alone open.substack.com/pub/erictopo...

open.substack.com

When Doctors With A.I. Are Outperformed by A.I. Alone

Interpreting Some Surprising Results

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Reposted by Charles Kahn

BraTS-METS Challenge - LearnAI @brats-education.bsky.social · 24/01/2025

Dr. Flo Doo, @asset25.bsky.social, @katehanneman.bsky.social, @cekahn.bsky.social are joining us to discuss one of the most popular topics in radiology - Environmental Sustainability & AI! Register @ forms.gle/TLHd15oPCFqD... @radiology-ai.bsky.social #RadSky #Radiology #AI #science #innovation

https://www.canva.com/design/DAGdDzhpdb4/PG-qD4IM4-XG6Ok24SDIFA/view?utm_content=DAGdDzhpdb4&utm_campaign=designshare&utm_medium=link2&utm_source=uniquelinks&utlId=h4ff0ef2c14

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Charles Kahn @cekahn.bsky.social · 24/01/2025

Looking forward to participating!

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