MFXR: An X-Rays Dataset for AI-Based Diagnosis of Monteggia Fractures

Monteggia fractures exhibit a high misdiagnosis rate of over 20%, largely attributable to their subtle radiographic presentation and frequently low clinical suspicion. While AI-based diagnostic methods hold considerable potential to enhance detection accuracy, their development has been hampered by the absence of a dedicated, well-annotated imaging dataset. To address this gap, we introduce MFXR, a publicly available X-ray dataset designed to facilitate research in AI-based diagnosis of Monteggia fractures. The dataset comprises 4,578 X-ray images from 1482 patients, including 2,785 Monteggia fracture cases and 1,793 normal or other fracture controls. All cases have been annotated and validated by board-certified orthopedic surgeons, ensuring high-quality labels. This public dataset and its accompanying benchmarks are expected to accelerate the development of reliable AI diagnostic tools, thereby helping to reduce diagnostic errors and improve patient care in the management of Monteggia fractures.