by gersteinlab · Agent Tool · ★ 325
[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning 📖 Paper We propose a Multi-disciplinary Collaboration (MC) framework. The framework works in five stages: (i) expert gathering: gather experts from distinct disciplines according to the clinical question; (ii) analysis proposition: domain experts put forward their own analysis with their expertise; (iii) report summarization: compose a summarized report on the basis of a previous series of analyses; (iv) collaborative consultation: engage the experts in discussions over the summarized...
| Stars | 325 |
| Forks | 45 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 59.899316939223/100 |
| Last Updated | 2024-05-27 |
| Created | 2023-11-15 |
| Platforms | python |
| Est. Tokens | ~466k |
These tools work well together with MedAgents for enhanced workflows:
Explore other popular agent tool tools:
MedAgents is [ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537. It is categorized as a Agent Tool with 325 GitHub stars.
MedAgents is primarily written in Python. It covers topics such as llm, llm-agent, llm-agents.
You can find installation instructions and usage details in the MedAgents GitHub repository at github.com/gersteinlab/MedAgents. The project has 325 stars and 45 forks, indicating an active community.