Christian Bluethgen

@cxbln.bsky.social

Radiologist, Scientist & Faculty @ Stanford, Stanford AIMI | #RadSky #ChestRad 🫁🫀 🩻

🚨 Agentic Systems in Radiology Everyone’s talking about agents🕵️‍♀️🕵️‍♂️ — but what happens when you bring them into real clinical workflows? Our new preprint explores the design, applications, challenges, and evaluation of LLM-based agents and agentic workflows in radiology 👇 arxiv.org/abs/2510.09404

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🚨 Agentic Systems in Radiology Everyone’s talking about agents🕵️‍♀️🕵️‍♂️ — but what happens when you bring them into real clinical workflows? Our new preprint explores the design, applications, challenges, and evaluation of LLM-based agents and agentic workflows in radiology 👇 arxiv.org/abs/2510.09404

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💥 We unveil our paper accepted at the #ACL2025 Main Conference: Automated Structured Report Generation Let's revisit automated radiology report generation for CXR. Free-form reports make it hard for AI systems to learn accurate generation, and even harder to evaluate. 🧵👇 @StanfordAIMI @hopprai

When reading AI benchmarks, aside from the fact that many of the AIs are (accidentally or on purpose) trained on the test set, many tests are just bad. MMLU likely maxes out at 90% or so because so many of the questions in it are just wrong. It is also uncalibrated in difficulty across questions.

People: please don't ML for the sake of ML. I keep seeing manuscripts using fancy machine learning on brain-imaging data, where, in my opinion (having processed a lot of brain-imaging data), the method is way too complex for the richness of the data. Fancier is not better per se

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"productization requires [standardization in development and deployment], which is antithetical to research. [...] PhDs are supposed to come up with innovative ideas, validate these ideas, report the findings to the community by writing papers and then move on." [slightly edited to fit post limits]

@kyunghyuncho.bsky.social · 2y ago

feeling a but under the weather this week … thus an increased level of activity on social media and blog: kyunghyuncho.me/i-sensed-anx...

VLMs go MoE ✨ DeepSeek AI dropped three new commercially permissive vision LMs based on SigLIP encoder and their DeepSeek-MoE decoder 🐳 the models come in 1.0B, 2.8B and 4.5B active params 🥹 models seem to catch up with state-of-the-art with less active parameters! huggingface.co/collections/...

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And chatbots aren't moral agents nor have ownership of the text they output, so they don't need to be credited. The proper thing to do when using a chatbot is to disclose it, for transparency, rather than cite it for attributing credit or signaling credibility. 4/