GigaPevt: Multimodal Medical Assistant
<|reference_start|>GigaPevt: Multimodal Medical Assistant: Building an intelligent and efficient medical assistant is still a challenging AI problem. The major limitation comes from the data modality scarceness, which reduces comprehensive patient perception. This demo paper presents the GigaPevt, the first multimodal medical assistant that combines the dialog capabilities of large language models with specialized medical models. Such an approach shows immediate advantages in dialog quality and metric performance, with a 1.18% accuracy improvement in the question-answering task.<|reference_end|>
@article{blinov2024gigapevt:,
    title={GigaPevt: Multimodal Medical Assistant},
    author={Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan
  Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey Savchenko},
    journal={Proceedings of the Thirty-Third International Joint Conference on
  Artificial Intelligence (IJCAI) Demo Track, 2024, pp. 8614-8618},
    year={2024},
    doi={10.24963/ijcai.2024/992},
    archivePrefix={arXiv},
    eprint={2402.16654},
    primaryClass={cs.AI cs.CL cs.HC}
}