Summary of Vision-language and Large Language Model Performance in Gastroenterology: Gpt, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models, by Seyed Amir Ahmad Safavi-naini et al.
Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models
by Seyed Amir Ahmad Safavi-Naini, Shuhaib Ali, Omer Shahab, Zahra Shahhoseini, Thomas Savage, Sara Rafiee, Jamil S Samaan, Reem Al Shabeeb, Farah Ladak, Jamie O Yang, Juan Echavarria, Sumbal Babar, Aasma Shaukat, Samuel Margolis, Nicholas P Tatonetti, Girish Nadkarni, Bara El Kurdi, Ali Soroush
First submitted to arxiv on: 25 Aug 2024
Categories
- Main: Computation and Language (cs.CL)
- 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 This paper assesses the ability of large language models (LLMs) and vision language models (VLMs) to perform medical reasoning tasks in the context of gastroenterology. The study investigates whether these AI models can accurately diagnose and treat various gastrointestinal disorders. The authors leverage a range of datasets, including electronic health records and standardized test cases, to evaluate the performance of LLMs and VLMs on specific gastroenterological tasks. Key findings from this research can inform the development of AI-based clinical decision support systems for gastroenterologists. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how well artificial intelligence (AI) models can think like doctors do when it comes to stomach problems. The researchers tested two types of AI models: ones that understand language and ones that can analyze images. They used real medical records and fake cases to see if the AI models could correctly diagnose and treat different stomach disorders. This research will help create better computer tools for doctors to use in their work. |
