GigaPevt: Multimodal Medical Assistant
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arXiv
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| Hauptverfasser: | , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866916339017318400 |
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| author | Blinov, Pavel Egorov, Konstantin Sviridov, Ivan Ivanov, Nikolay Botman, Stepan Tagin, Evgeniy Kudin, Stepan Zubkova, Galina Savchenko, Andrey |
| author_facet | Blinov, Pavel Egorov, Konstantin Sviridov, Ivan Ivanov, Nikolay Botman, Stepan Tagin, Evgeniy Kudin, Stepan Zubkova, Galina Savchenko, Andrey |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_16654 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | GigaPevt: Multimodal Medical Assistant Blinov, Pavel Egorov, Konstantin Sviridov, Ivan Ivanov, Nikolay Botman, Stepan Tagin, Evgeniy Kudin, Stepan Zubkova, Galina Savchenko, Andrey Artificial Intelligence Computation and Language Human-Computer Interaction 68T07 I.2.1 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. |
| title | GigaPevt: Multimodal Medical Assistant |
| topic | Artificial Intelligence Computation and Language Human-Computer Interaction 68T07 I.2.1 |
| url | https://arxiv.org/abs/2402.16654 |