by gersteinlab · Agent Tool · ★ 325
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[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 report. The report will be revised iteratively until an agreement from all the experts is reached; (v) decision making: derive a final decision from the unanimous report. Requirements Install all required python dependencies: Data We evaluate our MC framework on two benchmark datasets MedQA, MedMCQA, and PubMedQA, as well as six subtasks most relevant to the medical domain from MMLU datasets including anatomy, clinical knowledge, college medicine, medical genetics, professional medicine, and college biology.
| Stars | 325 |
| Forks | 45 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 37.7/100 |
| Last Updated | 2024-05-27 |
| Created | 2023-11-15 |
| Platforms | python |
| Est. Tokens | ~466k |
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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.
The top alternatives to MedAgents on Agent Skills Hub include ChatSim, LiteWebAgent, Awesome-AI-For-Security. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.