Summary of Evaluating Llm — Generated Multimodal Diagnosis From Medical Images and Symptom Analysis, by Dimitrios P. Panagoulias et al.
Evaluating LLM – Generated Multimodal Diagnosis from Medical Images and Symptom Analysis
by Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis
First submitted to arxiv on: 28 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); 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 This paper proposes an evaluation paradigm for large language models (LLMs) in medical diagnosis. The methodology involves two steps: structured interactions with multimodal multiple-choice questions (MCQs) in the domain of Pathology and a follow-up, domain-specific analysis based on extracted data. The authors used GPT-4-Vision-Preview to respond to complex, medical questions consisting of both images and text, exploring various diseases, conditions, chemical compounds, and entity types related to Pathology. The model scored approximately 84% correct diagnoses, revealing strengths and weaknesses in specific knowledge paths. This work provides a framework for evaluating the accuracy and usefulness of LLMs in medical diagnosis, with implications for improving their performance. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about testing how well artificial intelligence (AI) can help doctors make accurate diagnoses. The authors used a special kind of AI called large language models to answer medical questions that include images and text. They tested the AI’s answers against correct answers from experts in the field of Pathology. The AI did quite well, getting about 84% of the answers right. However, it also had some trouble with certain types of questions. This research is important because it helps us understand how we can improve the AI’s performance and use it to help doctors make better diagnoses. |
Keywords
» Artificial intelligence » Gpt
