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 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.
Keywords
- Multidisciplinary Topics and Applications: MDA: Health and medicine
- Natural Language Processing: NLP: Dialogue and interactive systems
- Computer Vision: CV: Vision and language
- Computer Vision: CV: Applications
