Summary of Eyefound: a Multimodal Generalist Foundation Model For Ophthalmic Imaging, by Danli Shi et al.
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging
by Danli Shi, Weiyi Zhang, Xiaolan Chen, Yexin Liu, Jiancheng Yang, Siyu Huang, Yih Chung Tham, Yingfeng Zheng, Mingguang He
First submitted to arxiv on: 18 May 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 paper presents EyeFound, a multimodal foundation model designed for ophthalmic images. It tackles challenges in existing AI models by learning generalizable representations from unlabeled data, allowing efficient adaptation across multiple tasks and modalities. The model outperforms previous work RETFound in diagnosing eye diseases, predicting systemic disease incidents, and zero-shot multimodal visual question answering (VQA). This work has the potential to improve model performance, reduce annotation burden on experts, and facilitate widespread clinical AI applications for retinal imaging. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary EyeFound is a special kind of artificial intelligence (AI) that helps doctors with eye problems. Right now, many AI systems need a lot of information from people who are experts in eyes, which can be time-consuming and costly. This new system, EyeFound, doesn’t need as much help from humans. It can learn to recognize patterns in pictures of eyes without needing labels or expert input. The system is very good at recognizing different eye diseases and predicting when other health problems might occur. It’s also great at answering questions about what it sees in the pictures. This could make it easier for doctors to use AI to help people with eye problems. |
Keywords
» Artificial intelligence » Question answering » Zero shot
