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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Resource collection of medical agent for clinical dialogue and health
| Date | Stars |
|---|---|
| 2026-07-31 | 414 |
| 2026-08-04 | 414 |
| 2026-08-06 | 414 |
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Welcome to Awesome-Agentic-Clinical-Dialogue. This repo includes papers about methods related to agentic clinical dialogue. We believe that the agentic paradigm is still a largely unexplored area, and we hope this repository will provide you with some valuable insights!
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Read our survey paper here: <a href="https://arxiv.org/abs/2512.01453">Reinventing Clinical Dialogue: Agentic Paradigms for LLM‑Enabled Healthcare Communication</a>
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<a href="https://github.com/xqz614/Awesome-Agentic-Clinical-Dialogue/blob/main/tutorial/Awesome-Tutorial-on-Clinical-Dialogue.md">Courses&Tutorial (🤟Check it out!)</a> •
<a href="#-awesome-methods-model-and-resource-list">Papers</a> •
<a href="#%EF%B8%8Fstart-with-awesome-dataset">Datasets</a> •
<a href="#-leading-group">Leading Group</a>
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<p align="center"><img src="https://github.com/xqz614/Awesome-Agentic-Clinical-Dialogue/blob/main/image/nano.png" height="500px"></p>
## 📘 Overview
This framework facilitates a systematic analysis of the intrinsic trade-offs between creativity and reliability by categorizing methods into four archetypes: Latent Space Clinicians, Emergent Planners, Grounded Synthesizers, and Verifiable Workflow Automators. For each paradigm, we deconstruct the technical realization across the entire cognitive pipeline, encompassing strategic planning, memory management, action execution, collaboration, and evolution, to reveal how distinct architectural choices balance the tension between autonomy and safety. Furthermore, we bridge abstract design philosophies with the pragmatic implementation ecosystem. By mapping real-world applications to our taxonomy and systematically reviewing benchmarks and evaluation metrics specific to clinical agents, we provide a comprehensive reference for future development.
<p align="center"><img src="https://github.com/xqz614/Awesome-Agentic-Clinical-Dialogue/blob/main/image/taxonomy.png" height="500px"></p>
## 📁 Table of Contents
- [Key Categories](#-key-categories)
- [Start with Awesome Dataset](#%EF%B8%8Fstart-with-awesome-dataset)
- [QA Dialogue](#i-qa-dialogue)
- [Task-oriented Dialogue](#ii-task-oriented-dialogue)
- [Recommendation Dialogue](#iii-recommendation-dialogue)
- [Supportive Dialogue](#iv-supportive-dialogue)
- [Hybrid-function Dialogue](#v-hybrid-function)
- [Tutorial and Courses](https://github.com/xqz614/Awesome-Agentic-Clinical-Dialogue/blob/main/tutorial/Awesome-Tutorial-on-Clinical-Dialogue.md)
- [Leading Group](#-leading-group)
- [Awesome Methods, Model and Resource List](#-awesome-methods-model-and-resource-list)
- [LSC](#lsc)
- [Planning](#planning)
- [Memory](#memory)
- [Cooperation](#cooperation)
- [Self-evolution](#self-evolution)
- [EP](#ep)
- [Planning](#planning-1)
- [Memory](#memory-1)
- [Cooperation](#cooperation-1)
- [Self-evolution](#self-evolution-1)
- [GS](#gs)
-Excerpt of 112,300 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:74a1cd55b1267e45, llm:Repository description: 'Resource collection of medical agent for clinical dialogue and health' (no topics).
matched fp:74a1cd55b1267e45, llm:Repository description: 'Resource collection of medical agent for clinical dialogue and health' (no topics).
matched fp:74a1cd55b1267e45, llm:Repository description: 'Resource collection of medical agent for clinical dialogue and health' (no topics).