Foundation models trained the way large language models are trained have gotten good at a strange range of things at once, reasoning across images and text, summarizing dense documents, and even segmenting regions in an image when guided by a…
How RO LMM Plans Breast Cancer Radiotherapy End to End Read More »
This article explains and critically evaluates a piece of published research. It is not medical advice, a diagnostic tool, or a treatment recommendation. Nothing here should inform an actual clinical decision. Readers with questions about a medical condition or an…
SVIS-RULEX Explains Medical AI Decisions, But Its 26 Features Have a Math Problem Read More »
Medical imaging has seen a rapid evolution over the past decade, especially in non-invasive diagnostics. Among these advancements, Magnetic Resonance Elastography (MRE) has emerged as a powerful technique for evaluating tissue stiffness — a key biomarker in diagnosing diseases like…
Intracranial aneurysms (IAs) affect 3% of the global population, yet rupture often strikes without warning. The CROWN Challenge—a landmark MICCAI 2023 study—reveals a critical gap: current IA screening misses 92% of at-risk cases. Traditional manual assessment of the Circle of…
Picture a cardiologist staring at a 12 lead ECG trace from a patient being considered for cardiac resynchronization therapy, the kind of device that paces both sides of the heart back into rhythm. The tracing tells her something is off.…
Why Cardiac Digital Twins Can’t Be Solved From One ECG Read More »
Start with the size problem, because it explains almost everything else in this paper. The microbubbles the team used are between 2 and 5 micrometers across. A human hair is roughly 70 micrometers wide, so you could line up more…
Dreamer v3 Teaches Ultrasound Microrobots to Steer Themselves Read More »
A seven billion parameter model writes a clean, helpful answer, then you try to ship it. It will not fit on the phone, the latency blows past your budget, and the energy draw is not something a small product can…
ToDi: Per Token KL Divergence Control for LLM Distillation Read More »
A well funded lab spends months and a serious pile of compute training a frontier language model. A smaller competitor never touches that budget. Instead it sends a few thousand prompts to the public API, saves the answers, and fine…
DOGe: Stopping LLM Knowledge Theft With One Fine Tuned Layer Read More »
It is worth being upfront about what kind of paper this is. EasyDistill does not propose a new loss function or a new theoretical result about distillation. It is a systems paper, describing an open source toolkit that wraps a…
EasyDistill Packages LLM Distillation, But Its Top-k Shortcut Has A Cost Read More »
Imagine a critical factory floor. Robots communicate flawlessly… until 10 new sensors come online. Suddenly, commands clash, data vanishes, and production grinds to a halt. This isn’t science fiction; it’s the harsh reality of today’s wireless networks buckling under change.…