Chest X-ray reports that show their work: ARIVE inspects anatomy before diagnosing, matching Qwen3.5 in blinded grading
Automated chest X-ray reports often read fluently while leaving unclear which image evidence supports which finding. ARIVE interleaves anatomical inspection with diagnostic reasoning before composing the report, trained on 159,416 multimodal chain-of-thought trajectories built from MIMIC-CXR. On MIMIC-CXR and the abnormality-only MIMIC-ABN it scored highest overall on clinical-efficacy measures among the compared models, and in blinded grading of 100 cases its report quality was close to Qwen3.5 (mean 3.47 versus 3.51, against 3.88 for reference reports).