Charles Kahn, MD

The Radiology Ontology of AI Datasets, Models, and Projects (ROADMAP) provides a common language for researchers doi.org/10.1148/ryai.2… @AMIAinformatics #IS26 #informatics #AI

A Taxonomy of Machine Hallucination in Radiology doi.org/10.1148/ryai.2… @BIOENGatIL #AIhallucination #Radiology #MachineLearning

The journal Radiology: Artificial Intelligence publishes high-quality research on #AI and medical imaging ➡️ rsna.org/ai @iclr_conf #ICLR2026 #MachineLearning #DeepLearning #Radiomics

Explore leading-edge research in Radiology: Artificial Intelligence ➡️ rsna.org/ai @AACR #AACR26 #AACR2026 #cancer #OncoRad #oncology #MachineLearning #DeepLearning

Supporting communication in Radiology AI with ROADMAP, a new ontology doi.org/10.1148/ryai.2… @cekahn @abhisuri97 @_ragonzales #AI #ML #MachineLearning

Experimenting with regulations: The role of regulatory sandboxes in governing AI for radiology radiologyai.substack.com/p/experimentin… #regulation #ML #MachineLearning

Looking forward to the @ARRS_Radiology Instructional Course on #AI, organized by @wushandong! linkedin.com/posts/shandong… #ARRS26 #ARRS2026

A Taxonomy of Machine Hallucination in Radiology doi.org/10.1148/ryai.2… @BIOENGatIL #AIhallucination #AI #ML

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset doi.org/10.1148/ryai.2… #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

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.2… @cekahn @abhisuri97 @_ragonzales #Radiology #ML #MachineLearning

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/post/1…

Metrics for Artificial Intelligence in Medicine: A Reference Resource doi.org/10.1148/ryai.2… @AMIAinformatics #IS26 #informatics #AI

💡Check out this LinkedIn post from Dr. Angela Colmone describing @RSNA's ATLAS #AI Library! linkedin.com/posts/angela-c… #ArtificialIntelligence #ModelCards #Datasets

Supporting communication in Radiology AI with ROADMAP, a new ontology doi.org/10.1148/ryai.2… @cekahn @abhisuri97 @_ragonzales #Radiology #ontology #MachineLearning

A comprehensive, machine-interpretable taxonomy of AI performance metrics doi.org/10.1148/ryai.2… @cekahn @_ragonzales #AIperformance #Radiology #ML

Supporting communication in Radiology AI with ROADMAP, a new ontology doi.org/10.1148/ryai.2… @cekahn @abhisuri97 @_ragonzales #Radiology #ontology #ML

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.2… 📝Metrics: doi.org/10.1148/ryai.2… Thanks to @cekahn et al!

Metrics for Artificial Intelligence in Medicine: A Reference Resource doi.org/10.1148/ryai.2… @cekahn @_ragonzales #AI #ML #MachineLearning

New Blog Post: Charles E. Kahn, Jr. on the value of ontologies radiologyai.substack.com/p/are-ontologi… @cekahn #blog #blogging #radiology