@article{hou2025one,
  title={One year on: assessing progress of multimodal large language model performance on RSNA 2024 case of the day questions},
  author={Hou, Benjamin and Mukherjee, Pritam and Batheja, Vivek and Wang, Kenneth C and Summers, Ronald M and Lu, Zhiyong},
  journal={Radiology},
  volume={316},
  number={2},
  pages={e250617},
  year={2025},
  publisher={Radiological Society of North America},
  doi = {10.1148/radiol.250617},
  url = {https://doi.org/10.1148/radiol.250617},
  abstract = {Multimodal large language models have significantly improved in assessing RSNA Case of the Day Questions over the past year, with OpenAI’s latest models outperforming those from Google and Meta; notably, OpenAI o1 had an accuracy comparable to expert radiologists.},
}