Summary of Minigpt-med: Large Language Model As a General Interface For Radiology Diagnosis, by Asma Alkhaldi et al.
MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis
by Asma Alkhaldi, Raneem Alnajim, Layan Alabdullatef, Rawan Alyahya, Jun Chen, Deyao Zhu, Ahmed Alsinan, Mohamed Elhoseiny
First submitted to arxiv on: 4 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
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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 introduces MiniGPT-Med, a vision-language model derived from large-scale language models and tailored for medical applications. This model demonstrates remarkable versatility across various imaging modalities, including X-rays, CT scans, and MRIs, enhancing its utility. MiniGPT-Med is capable of performing tasks such as medical report generation, visual question answering (VQA), and disease identification within medical imagery. Its integrated processing of both image and textual clinical data markedly improves diagnostic accuracy. The model achieves state-of-the-art performance on medical report generation, higher than the previous best model by 19% accuracy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a new AI model called MiniGPT-Med that helps doctors diagnose patients better. It can take in X-rays, CT scans, and MRIs and generate medical reports, answer questions about what it sees, and identify diseases. This model is special because it combines information from images and text to make more accurate diagnoses. The results show that this model is really good at generating medical reports and identifying diseases, and it could be used in hospitals to help doctors diagnose patients faster and more accurately. |
Keywords
» Artificial intelligence » Language model » Question answering
