GigaPevt: Multimodal Medical Assistant
This is an incremental improvement for medical AI applications.
The paper tackles the challenge of building an intelligent medical assistant by addressing data modality scarceness, resulting in a 1.18% accuracy improvement in question-answering tasks.
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.