Results for “clinical”

The benchmark tasks and evaluation harness for "PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments".

162 production-ready AI agent templates for OpenClaw. SOUL.md configs across 19 categories. Submit yours!

[EMNLP'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records

CI for Claude Skills — lint, eval, and regression-test SKILL.md files across a model matrix, with a self-growing eval lo

总结Prompt&LLM论文，开源数据&模型，AIGC应用

Official companion repository for our survey "A Survey of the OpenClaw Ecosystem: From Platform Extensibility to Constra

[WWW-2025] ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collabo

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous wor

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

历年ICLR论文和开源项目合集，包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.

Ultimate Claude Fable 5 Guide 2026: Use Cases, Integrations & Benchmarks

AIlice is a fully autonomous, general-purpose AI agent.

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

Making Meta Ray-ban / Oakley glasses smarter. Non-Meta Model selection, agentic features, smart guidance.

Conversational & memory-enabled AI research partner for multi-omics analysis. CLI + Desktop App (installers in Releases)

HealthFlow: Automating electronic health record analysis via a strategically self-evolving multi-agent framework

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+

AMG-RAG (Agentic Medical Graph-RAG) is a comprehensive framework that automates the construction and continuous updating