@cekahn
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Working to improve #health for all. @PennRadiology vice chair, @Radiology_AI editor. (Views my own; RT/❤️ ≠ agree)
Philadelphia, PA
Joined March 2012
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RSNA has announced its 2026 Editorial Fellows. Congratulations to Suyash Mohan, MD, Ashwin Singh Parihar, MD, and Hyun Soo Ko, MD, who will work with @radiology_rsna and @RadioGraphics editors and RSNA staff. Learn more about this year’s fellows: bit.ly/43ER2P5
@TheNUCguy @drsuyash @cookyscan1
Charles Kahn, MD retweeted
The Radiology Ontology of AI Datasets, Models, and Projects (ROADMAP) provides a common language for researchers doi.org/10.1148/ryai.260069 @AMIAinformatics #IS26 #informatics #AI
Charles Kahn, MD retweeted
A Taxonomy of Machine Hallucination in Radiology doi.org/10.1148/ryai.250203 @BIOENGatIL #AIhallucination #Radiology #MachineLearning
Charles Kahn, MD retweeted
The journal Radiology: Artificial Intelligence publishes high-quality research on #AI and medical imaging
➡️ rsna.org/ai
@iclr_conf #ICLR2026 #MachineLearning #DeepLearning #Radiomics
Charles Kahn, MD retweeted
Explore leading-edge research in Radiology: Artificial Intelligence
➡️ rsna.org/ai
@AACR #AACR26 #AACR2026 #cancer #OncoRad #oncology #MachineLearning #DeepLearning
Charles Kahn, MD retweeted
Supporting communication in Radiology AI with ROADMAP, a new ontology doi.org/10.1148/ryai.260069 @cekahn @abhisuri97 @_ragonzales #AI #ML #MachineLearning
Charles Kahn, MD retweeted
Experimenting with regulations: The role of regulatory sandboxes in governing AI for radiology radiologyai.substack.com/p/e… #regulation #ML #MachineLearning
Looking forward to the @ARRS_Radiology Instructional Course on #AI, organized by @wushandong!
linkedin.com/posts/shandong-… #ARRS26 #ARRS2026
Charles Kahn, MD retweeted
A Taxonomy of Machine Hallucination in Radiology doi.org/10.1148/ryai.250203 @BIOENGatIL #AIhallucination #AI #ML
Charles Kahn, MD retweeted
The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset doi.org/10.1148/ryai.250480 #DataResources #dataset #MSKRad
Many thanks to all of the reviewers who have shared their expertise to support @Radiology_AI. Your contributions to the journal are greatly appreciated!
@RSNA #radiology #AI #DeepLearning
Our reviewers are the backbone of the journal. We thank them for sharing their knowledge. doi.org/10.1148/ryai.260176 #AI #reviewers #ML
Charles Kahn, MD retweeted
An ontology that standardizes metadata for AI models, datasets, and projects, enabling interoperable description, discovery, and transparent use of AI resources doi.org/10.1148/ryai.260069 @cekahn @abhisuri97 @_ragonzales #Radiology #ML #MachineLearning
Charles Kahn, MD retweeted
Excited to share the lab’s newest endeavor, a Substack focused on:
🔍 Explaining core concepts in multimodal AI
📚 Grounding discussions in evidence‑based research
⚖️ Critically examining clinical, ethical, and operational trade‑offs
hsulab.substack.com/publish/…
Charles Kahn, MD retweeted
Metrics for Artificial Intelligence in Medicine: A Reference Resource doi.org/10.1148/ryai.260070 @AMIAinformatics #IS26 #informatics #AI
💡Check out this LinkedIn post from Dr. Angela Colmone describing @RSNA's ATLAS #AI Library! linkedin.com/posts/angela-co…
#ArtificialIntelligence #ModelCards #Datasets
Charles Kahn, MD retweeted
Supporting communication in Radiology AI with ROADMAP, a new ontology doi.org/10.1148/ryai.260069 @cekahn @abhisuri97 @_ragonzales #Radiology #ontology #MachineLearning
Charles Kahn, MD retweeted
A comprehensive, machine-interpretable taxonomy of AI performance metrics doi.org/10.1148/ryai.260070 @cekahn @_ragonzales #AIperformance #Radiology #ML
Charles Kahn, MD retweeted
Supporting communication in Radiology AI with ROADMAP, a new ontology doi.org/10.1148/ryai.260069 @cekahn @abhisuri97 @_ragonzales #Radiology #ontology #ML
Charles Kahn, MD retweeted
2 papers published today in @Radiology_AI!
Medical AI needs more than better models. It needs better infrastructure to describe models, datasets and evaluation in machine-readable ways.
📝ROADMAP: doi.org/10.1148/ryai.260069
📝Metrics: doi.org/10.1148/ryai.260070
Thanks to @cekahn et al! – at Cambridge, MA
Charles Kahn, MD retweeted
Metrics for Artificial Intelligence in Medicine: A Reference Resource doi.org/10.1148/ryai.260070 @cekahn @_ragonzales #AI #ML #MachineLearning
