Summary of The Application Of Chatgpt in Responding to Questions Related to the Boston Bowel Preparation Scale, by Xiaoqiang Liu et al.
The Application of ChatGPT in Responding to Questions Related to the Boston Bowel Preparation Scale
by Xiaoqiang Liu, Yubin Wang, Zicheng Huang, Boming Xu, Yilin Zeng, Xinqi Chen, Zilong Wang, Enning Yang, Xiaoxuan Lei, Yisen Huang, Xiaobo Liu
First submitted to arxiv on: 13 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 study investigates the use of ChatGPT, a large language model with emergent intelligence, for assessing colonoscopy images using the Boston Bowel Preparation Scale (BBPS). The researchers retrospectively collected 233 colonoscopy images and evaluated them using the BBPS by both experienced endoscopists and ChatGPT. The results show that while ChatGPT has promise in bowel preparation scoring, its accuracy varies between 48.93% and 62.66%, trailing the endoscopists’ accuracy of 76.68% to 77.83%. The study highlights the need for further research into fine-tuning ChatGPT for improved performance. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary ChatGPT is a computer program that can understand and help with medical tasks like looking at pictures of people’s insides to see if they’re healthy or not. In this study, researchers used ChatGPT to look at pictures of colonoscopies (a way doctors check the inside of your colon) and try to figure out how well the person got ready for the test. They compared ChatGPT to real doctors who did the same task. The results showed that ChatGPT is not as good as the doctors, but it can still help with some things. More work needs to be done to make ChatGPT better. |
Keywords
» Artificial intelligence » Fine tuning » Large language model
