Papers by Arne Edward Michalson Md

1 papers
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback (2025.acl-long)

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Challenge: Radiologists are a crucial role in translating medical images into actionable reports . however, the field faces staffing shortages and increasing workloads .
Approach: They propose an automated pipeline for preference feedback focusing on chest X-ray radiology report generation (RRG) method leverages publicly available datasets containing pairs of images and radiologist-written reference reports with reference-based metrics, or Judges.
Outcome: The proposed pipeline achieves state-of-the-art CheXbert scores on the MIMIC-CXR dataset while on average maintaining robust performance across six additional image perception and reasoning tasks.

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