Summary of Mmds: a Multimodal Medical Diagnosis System Integrating Image Analysis and Knowledge-based Departmental Consultation, by Yi Ren et al.
MMDS: A Multimodal Medical Diagnosis System Integrating Image Analysis and Knowledge-based Departmental Consultation
by Yi Ren, HanZhi Zhang, Weibin Li, Jun Fu, Diandong Liu, Tianyi Zhang, Jie He, Licheng Jiao
First submitted to arxiv on: 20 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The MMDS system is a machine learning-based solution that can recognize medical images and patient facial details, providing professional medical diagnoses. It consists of two core components: one for analyzing medical images and videos, and another for generating professional medical responses. The analysis component includes a multimodal medical model that achieved high accuracy in recognizing facial emotions and paralysis conditions. This model was used to develop a parser for grading the severity of facial paralysis from video recordings, with an accuracy of 83.3%. The system also employed a large language model integrated with a medical knowledge base to generate professional diagnoses based on analyzed medical images or videos. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary MMDS is a new system that can analyze medical images and diagnose patients with medical conditions. It uses special computer programs to look at pictures and videos of people’s faces and figure out what they are feeling, like happy or sad. The system also looks at how well someone’s face is working if it has paralysis. Then, it gives doctors the information they need to make a good diagnosis. |
Keywords
» Artificial intelligence » Knowledge base » Large language model » Machine learning
