English

GigaPevt: Multimodal Medical Assistant

Artificial Intelligence 2024-07-31 v2 Computation and Language Human-Computer Interaction

Abstract

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.

Cite

@article{arxiv.2402.16654,
  title  = {GigaPevt: Multimodal Medical Assistant},
  author = {Pavel Blinov and Konstantin Egorov and Ivan Sviridov and Nikolay Ivanov and Stepan Botman and Evgeniy Tagin and Stepan Kudin and Galina Zubkova and Andrey Savchenko},
  journal= {arXiv preprint arXiv:2402.16654},
  year   = {2024}
}

Comments

IJCAI 2024, 4 pages, 2 figures, 2 tables

R2 v1 2026-06-28T15:00:27.040Z