Charles Kahn, MD

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

OCNet: A multimodal deep learning tool for classifying adnexal lesions on contrast-enhanced ultrasound doi.org/10.1148/ryai.2… @Mandy_China520 #DeepLearning #ultrasound #OBGyn

Join us for Penn Radiology Grand Rounds this Tuesday, Jan 27, at noon! 🎤 Toma Samantha Omofoye, MD - @TomaOmofoyeMD 🩺 Imaging to Impact: Improving Global Health Through Breast Radiology 📍 Dulles Grice Auditorium or Zoom

"AI is evolving from narrow algorithms to more generalist systems built on foundation models" radiologyai.substack.com/p/from-narrow-… @quirstr @uni_regensburg #DeepLearning #mutlimodal #AI

The Checklist for AI in Medical Imaging addresses #AI applications that include classification, segmentation, and reconstruction of medical images pubs.rsna.org/page/ai/claim #ML #Radiomics #ArtificialIntelligence

US-derived Pediatric Kidney Length and Volume Percentiles by Age: A Big Data Approach doi.org/10.1148/ryai.2… @ChildrensPhila #NLP #USRad #MachineLearning

What's new in medical imaging #AI? Explore the latest issue of Radiology: Artificial Intelligence ➡️ pubs.rsna.org/journal/ai @realAAAI #AAAI26 #IAAI2026 #AI #ArtificialIntelligence #MachineLearning #MachineLearning #ML

Applications are open for Editor of @RadiologyCTI -- @RSNA's leading journal of cardiothoracic imaging. The incoming Editor will build on the successes of @SuhnyAbbara, who has been named the new Editor-in-Chief of @radiology_rsna. #radiology #ChestRad #cardiovascular

A brain extraction tool for both non-enhanced CT and CT angiography: CTA-BET doi.org/10.1148/ryai.2… @UniHeidelberg @DKFZ #segmentation #NeuroRad #AI

A systematic review of the economics of AI in radiology doi.org/10.1148/ryai.2… #AI #ArtificialIntelligence #ML

Here’s how you know it’s #breakfast in Milwaukee… Bloody Mary with a beer sidecar 😀🍺