2026
RefleXNet: Targeted Self-Reflection for Accurate Chest X-ray Reporting
AAAI 2026technical
Automated interpretation and reporting of chest X-rays (CXRs) hold significant promise in reducing diagnostic errors and supporting radiologists under heavy clinical workloads. However, existing methods typically rely on global visual features and token-level supervision, limiting their sensitivity