gersteinlab/MedAgents

[ACL 2024 Findings] MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning https://arxiv.org/abs/2311.10537

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This project helps medical professionals analyze complex clinical questions by simulating a multi-disciplinary team. You input a clinical question, and the system generates a summarized report and a final decision based on 'expert' analyses and collaborative consultation. It's designed for medical researchers, clinicians, or students needing quick, comprehensive insights into medical cases or questions.

330 stars. No commits in the last 6 months.

Use this if you need to rapidly explore complex medical questions and simulate expert consensus without manually assembling a diverse team of specialists.

Not ideal if you require explainable, human-validated expert reasoning at every step or if you cannot use large language models for critical decision-making.

medical-reasoning clinical-decision-support medical-diagnosis medical-research healthcare-analytics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 18 / 25

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330

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45

Language

Python

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Last pushed

May 27, 2024

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