Pediatric CXR

Pediatric chest X-ray (CXR) analysis is a rapidly evolving field focused on developing accurate and reliable automated interpretation methods for diagnosing thoracic diseases in children. Current research emphasizes the use of large language models (LLMs) integrated with vision transformers, creating multimodal architectures that analyze both image data and associated textual reports to improve diagnostic accuracy. This work is driven by the need for larger, higher-quality annotated datasets and improved model generalizability across diverse pediatric populations, ultimately aiming to assist radiologists and improve patient care. The development of open-source datasets and benchmarks is fostering collaboration and accelerating progress in this crucial area of medical image analysis.