Summary

This repository aggregates research on agentic paradigms for LLM-enabled clinical dialogue, targeting healthcare AI researchers and developers. It provides a structured taxonomy and comprehensive overview of methods, aiming to guide the creation of more reliable and creative AI agents for healthcare communication by analyzing trade-offs between autonomy and safety.

How It Works

The project introduces a framework categorizing agentic clinical dialogue methods into four archetypes: Latent Space Clinicians (LSC), Emergent Planners (EP), Grounded Synthesizers (GS), and Verifiable Workflow Automators (VWA). It systematically deconstructs the cognitive pipeline (planning, memory, execution, collaboration, evolution) for each, mapping real-world applications and reviewing benchmarks. This approach reveals how architectural choices balance autonomy and safety in AI healthcare agents.

Quick Start & Requirements

This repository is a curated collection of research papers and resources, not a deployable software project. It does not have installation or execution requirements.

Highlighted Details

• A four-archetype taxonomy (LSC, EP, GS, VWA) for agentic clinical dialogue methods.
• Detailed analysis of cognitive pipelines (planning, memory, etc.) within each archetype.
• Extensive lists of relevant research papers, datasets, and leading research groups in agentic healthcare AI.
• Focus on the inherent trade-offs between AI creativity and reliability in clinical settings.
• Numerous research papers and associated code repositories are linked directly within the categorized resource lists.

Maintenance & Community

Contributions are welcomed, with contact points provided for Xiaoquan Zhi and Chuang Zhao. The repository functions as a static collection of academic resources rather than an actively maintained software project with community channels.

Licensing & Compatibility

No specific open-source license is stated for the repository itself. Users should refer to the individual licenses of the cited research papers and associated code.

Limitations & Caveats

As a survey and resource collection, this repository does not offer a runnable application or framework. Its primary value is in providing a structured overview and pointers to relevant academic work in agentic clinical dialogue.