A radiology decision model that never writes text: open weights lift report-error detection from 72.1% to 94.7%
The open-weight radiology decision model RadKev-27B raised task-averaged accuracy across fifteen radiology decision tasks from 75.9% to 80.8%, and report-error detection from 72.1% to 94.7%, while answering at roughly 1/132 the latency of a reasoning LLM.