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Radiologist-in-the-loop AI gets a boost: CheXOne generates CXR reports that are as good as (or better than) those written by residents in over half the cases, thanks to its ability to explicitly reason about visual evidence.
Active data curation during pretraining lets you build a chest X-ray foundation model that rivals full-data models using just 23% of the data and compute.
Achieve spatially faithful image-to-image translation without cross-domain supervision by bridging diffusion models with self-supervised semantic representations.
