Summary of Tokensome: Towards a Genetic Vision-language Gpt For Explainable and Cognitive Karyotyping, by Haoxi Zhang et al.
Tokensome: Towards a Genetic Vision-Language GPT for Explainable and Cognitive Karyotyping
by Haoxi Zhang, Xinxu Zhang, Yuanxin Lin, Maiqi Wang, Yi Lai, Yu Wang, Linfeng Yu, Yufeng Xu, Ran Cheng, Edward Szczerbicki
First submitted to arxiv on: 17 Mar 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 Automatic karyotype analysis is a crucial task in medical research that has been largely overlooked by traditional approaches. Existing methods solely focus on visual perception, neglecting valuable information at the componential and holistic levels. This limitation constrains model performance and hinders clinical adoption due to lack of interpretability. The proposed Tokensome model addresses these limitations by introducing a novel vision-language approach based on chromosome tokenization. Tokensome elevates the traditional visual perception layer to a cognitive decision-making layer, integrating domain knowledge and cognitive reasoning via knowledge graphs and large language models (LLMs). This elevation significantly enhances model explainability and facilitates abnormality detection. By leveraging LLMs, Tokensome enables clinicians to understand and trust AI-assisted karyotype analysis decisions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine trying to read a long list of chromosomes in a lab setting. It’s like reading a book with no context or understanding what each word means. Current technologies struggle to do this correctly, making it hard for doctors to use them in their work. A new AI model called Tokensome tries to fix this problem by using special computer vision and language processing techniques to help doctors understand chromosomes better. Tokensome is like a super-smart assistant that can analyze chromosome patterns, find abnormalities, and even explain its decisions. This means doctors can trust the AI’s results and use them to make more accurate diagnoses. |
Keywords
» Artificial intelligence » Tokenization
