LLaVA-Rad: a small multimodal model for chest X-ray interpretation and CheXprompt: radiologist aligned metric for evaluation
Chest X-rays are the most common medical image modality. Automatically producing accurate reports is a grand challenge in radiology AI. This work introduces LLaVA-Rad, a small multimodal model that was state-of-the-art at generating radiology report findings when released, as well as CheXprompt, the first radiologist aligned automated evaluation metric for generated reports.