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[Upstream sync] AgenticHealthAI/Awesome-AI-Agents-for-Healthcare (github) — 0 added, 1 modified #11

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title: "Awesome AI Agents for Healthcare" title: "Awesome AI Agents for Healthcare"
task: "" task: ""
lineage_type: import lineage_type: import
upstream_source: https://github.com/AgenticHealthAI/Awesome-AI-Agents-for-Healthcare/blob/26bc3511/README.md upstream_source: https://github.com/AgenticHealthAI/Awesome-AI-Agents-for-Healthcare/blob/f7d21450/README.md
upstream_sha: 26bc3511 upstream_sha: f7d21450
imported_at: 2026-08-19 imported_at: 2026-10-26
prompt_class: catalogue prompt_class: catalogue
upstream_changes: accepted upstream_changes: accepted
author: upstream author: upstream
@@ -420,6 +420,7 @@ If you find our paper and repository helpful, please cite:
1. [arxiv 2025.9] **Agentic-AI Healthcare: Multilingual, Privacy-First Framework with MCP Agents** [[paper]](https://arxiv.org/abs/2510.02325) 1. [arxiv 2025.9] **Agentic-AI Healthcare: Multilingual, Privacy-First Framework with MCP Agents** [[paper]](https://arxiv.org/abs/2510.02325)
1. [arxiv 2025.9] **Online Decision Making with Generative Action Sets** [[paper]](https://arxiv.org/abs/2509.25777) 1. [arxiv 2025.9] **Online Decision Making with Generative Action Sets** [[paper]](https://arxiv.org/abs/2509.25777)
1. [arxiv 2025.9] **PAME-AI: Patient Messaging Creation and Optimization using Agentic AI** [[paper]](https://arxiv.org/abs/2509.24263) 1. [arxiv 2025.9] **PAME-AI: Patient Messaging Creation and Optimization using Agentic AI** [[paper]](https://arxiv.org/abs/2509.24263)
1. [arxiv 2025.9] **ToolUniverse: An open platform for democratizing AI scientists** [[paper]](https://arxiv.org/abs/2509.23426) [[Github]](https://github.com/mims-harvard/ToolUniverse)
1. [arxiv 2025.9] **A co-evolving agentic AI system for medical imaging analysis** [[paper]](https://arxiv.org/abs/2509.20279) 1. [arxiv 2025.9] **A co-evolving agentic AI system for medical imaging analysis** [[paper]](https://arxiv.org/abs/2509.20279)
1. [arxiv 2025.9] **FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering** [[paper]](https://arxiv.org/abs/2509.19319) [[Github]](https://github.com/glee4810/FHIR-AgentBench) 1. [arxiv 2025.9] **FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering** [[paper]](https://arxiv.org/abs/2509.19319) [[Github]](https://github.com/glee4810/FHIR-AgentBench)
1. [arxiv 2025.9] **MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts** [[paper]](https://arxiv.org/abs/2509.12440) [[Github]](https://github.com/ivy3h/MedFact) 1. [arxiv 2025.9] **MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts** [[paper]](https://arxiv.org/abs/2509.12440) [[Github]](https://github.com/ivy3h/MedFact)
@@ -884,6 +885,8 @@ _(Agents designed to process and reason over multiple data types like images, te
### **1.12 Education Agents** ### **1.12 Education Agents**
**Related free course:** [BioDockify Learn - AI in Healthcare: Diagnosis to Drug Discovery](https://learn.biodockify.com) - 24 free AI-narrated video lessons covering explainable AI in clinical settings (SHAP, GradCAM, GEMEX), EHR modeling, wearables, and clinical-judgment training with automation-bias scenarios.
| Title | Venue | Date | Paper Link | Project Page | | Title | Venue | Date | Paper Link | Project Page |
| :--------------------------------------------------------------------------------------------------------------------- | :----- | :----- | :---------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | :--------------------------------------------------------------------------------------------------------------------- | :----- | :----- | :---------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **MedEasy: Designing AI Standardized Patients for Clinical Consultation Training** | arXiv | 2026.06 | [Paper](https://arxiv.org/abs/2606.17512) | Not Available | | **MedEasy: Designing AI Standardized Patients for Clinical Consultation Training** | arXiv | 2026.06 | [Paper](https://arxiv.org/abs/2606.17512) | Not Available |
@@ -1081,6 +1084,7 @@ _(Agents designed to process and reason over multiple data types like images, te
| **ALPACA: A Reinforcement Learning Environment for Medication Repurposing in Alzheimer's Disease** | arXiv | 2026.02 | [Paper](https://arxiv.org/abs/2602.19298) | Not Available | | **ALPACA: A Reinforcement Learning Environment for Medication Repurposing in Alzheimer's Disease** | arXiv | 2026.02 | [Paper](https://arxiv.org/abs/2602.19298) | Not Available |
| **Causal-Enhanced AI Agents for Medical Research Screening** | arXiv | 2026.01 | [Paper](https://arxiv.org/abs/2601.02814) | Not Available | | **Causal-Enhanced AI Agents for Medical Research Screening** | arXiv | 2026.01 | [Paper](https://arxiv.org/abs/2601.02814) | Not Available |
| **MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition** | arXiv | 2025.12 | [Paper](https://arxiv.org/abs/2512.11682) | [Benchmark & Competition](https://curebench.ai/) | | **MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition** | arXiv | 2025.12 | [Paper](https://arxiv.org/abs/2512.11682) | [Benchmark & Competition](https://curebench.ai/) |
| **ToolUniverse: An open platform for democratizing AI scientists** | arXiv | 2025.09 | [Paper](https://arxiv.org/abs/2509.23426) | ![Star](https://img.shields.io/github/stars/mims-harvard/ToolUniverse.svg?style=social&label=Star) <br> [GitHub](https://github.com/mims-harvard/ToolUniverse) |
| **BioScientistAgent: Designing LLM-Biomedical Agents with KG-Augmented RL Reasoning Modules** | biorxiv | 2025.08 | [Paper](https://www.biorxiv.org/content/10.1101/2025.08.08.669291) | Not Available | | **BioScientistAgent: Designing LLM-Biomedical Agents with KG-Augmented RL Reasoning Modules** | biorxiv | 2025.08 | [Paper](https://www.biorxiv.org/content/10.1101/2025.08.08.669291) | Not Available |
| **RAG-Enhanced Collaborative LLM Agents for Drug Discovery** | arXiv | 2025.02 | [Paper](http://arxiv.org/abs/2502.17506v2) | Not Available | | **RAG-Enhanced Collaborative LLM Agents for Drug Discovery** | arXiv | 2025.02 | [Paper](http://arxiv.org/abs/2502.17506v2) | Not Available |
| **Large Language Model Agent for Modular Task Execution in Drug Discovery** | arXiv | 2025.07 | [Paper](https://arxiv.org/abs/2507.02925) | ![Star](https://img.shields.io/github/stars/hoon-ock/AgentD.svg?style=social&label=Star) <br> [GitHub](https://github.com/hoon-ock/AgentD) | | **Large Language Model Agent for Modular Task Execution in Drug Discovery** | arXiv | 2025.07 | [Paper](https://arxiv.org/abs/2507.02925) | ![Star](https://img.shields.io/github/stars/hoon-ock/AgentD.svg?style=social&label=Star) <br> [GitHub](https://github.com/hoon-ock/AgentD) |
@@ -1300,6 +1304,7 @@ Beyond academic research papers, several open-source projects and tools provide
| Project | Description | Links | | Project | Description | Links |
| :------ | :---------- | :---- | | :------ | :---------- | :---- |
| **ToolUniverse** | Open-source scientific tool ecosystem with a native MCP server for biomedical research agents, supporting drug discovery, therapeutic reasoning, and literature retrieval; powers TxAgent | ![Star](https://img.shields.io/github/stars/mims-harvard/ToolUniverse.svg?style=social&label=Star) <br> [GitHub](https://github.com/mims-harvard/ToolUniverse) \| [Documentation](https://zitniklab.hms.harvard.edu/ToolUniverse/en/) |
| **Healthcare MCP Public** | MCP server providing AI assistants access to FDA drug info, PubMed, clinical trials, ICD-10, and medical calculators | ![Star](https://img.shields.io/github/stars/Cicatriiz/healthcare-mcp-public.svg?style=social&label=Star) <br> [GitHub](https://github.com/Cicatriiz/healthcare-mcp-public) | | **Healthcare MCP Public** | MCP server providing AI assistants access to FDA drug info, PubMed, clinical trials, ICD-10, and medical calculators | ![Star](https://img.shields.io/github/stars/Cicatriiz/healthcare-mcp-public.svg?style=social&label=Star) <br> [GitHub](https://github.com/Cicatriiz/healthcare-mcp-public) |
| **TruthStack MCP** | Supplement-drug interaction safety tool for AI agents with 1,008 directed interactions and FDA adverse event signals | ![Star](https://img.shields.io/github/stars/TruthStack1/truthstack-mcp.svg?style=social&label=Star) <br> [GitHub](https://github.com/TruthStack1/truthstack-mcp) \| [LangChain](https://github.com/TruthStack1/truthstack-langchain) \| [API](https://api.truthstack.co/docs) | | **TruthStack MCP** | Supplement-drug interaction safety tool for AI agents with 1,008 directed interactions and FDA adverse event signals | ![Star](https://img.shields.io/github/stars/TruthStack1/truthstack-mcp.svg?style=social&label=Star) <br> [GitHub](https://github.com/TruthStack1/truthstack-mcp) \| [LangChain](https://github.com/TruthStack1/truthstack-langchain) \| [API](https://api.truthstack.co/docs) |
| **Medical MCP** | MCP server querying FDA, WHO, PubMed, Google Scholar, and RxNorm APIs | ![Star](https://img.shields.io/github/stars/JamesANZ/medical-mcp.svg?style=social&label=Star) <br> [GitHub](https://github.com/JamesANZ/medical-mcp) | | **Medical MCP** | MCP server querying FDA, WHO, PubMed, Google Scholar, and RxNorm APIs | ![Star](https://img.shields.io/github/stars/JamesANZ/medical-mcp.svg?style=social&label=Star) <br> [GitHub](https://github.com/JamesANZ/medical-mcp) |
@@ -1309,6 +1314,8 @@ Beyond academic research papers, several open-source projects and tools provide
| **Awesome Medical MCP Servers** | Curated collection of Medical MCP servers for healthcare data integration | ![Star](https://img.shields.io/github/stars/sunanhe/awesome-medical-mcp-servers.svg?style=social&label=Star) <br> [GitHub](https://github.com/sunanhe/awesome-medical-mcp-servers) | | **Awesome Medical MCP Servers** | Curated collection of Medical MCP servers for healthcare data integration | ![Star](https://img.shields.io/github/stars/sunanhe/awesome-medical-mcp-servers.svg?style=social&label=Star) <br> [GitHub](https://github.com/sunanhe/awesome-medical-mcp-servers) |
| **BGPT MCP** | Hosted MCP server for searching scientific papers with full-text experimental data extraction; covers biomedical, clinical, and life science studies; `search_papers` tool returns structured data (methods, results, sample sizes); 50 free searches | ![Star](https://img.shields.io/github/stars/connerlambden/bgpt-mcp.svg?style=social&label=Star) <br> [GitHub](https://github.com/connerlambden/bgpt-mcp) | | **BGPT MCP** | Hosted MCP server for searching scientific papers with full-text experimental data extraction; covers biomedical, clinical, and life science studies; `search_papers` tool returns structured data (methods, results, sample sizes); 50 free searches | ![Star](https://img.shields.io/github/stars/connerlambden/bgpt-mcp.svg?style=social&label=Star) <br> [GitHub](https://github.com/connerlambden/bgpt-mcp) |
| **Fulcra Context MCP** | Personal context MCP server providing unified access to biometric, sleep, activity, and calendar data for AI agents via the Fulcra Life API — enables healthcare AI applications to incorporate real-time patient-reported wellness data | ![Star](https://img.shields.io/github/stars/fulcradynamics/fulcra-context-mcp.svg?style=social&label=Star) <br> [GitHub](https://github.com/fulcradynamics/fulcra-context-mcp) \| [Python Client](https://github.com/fulcradynamics/fulcra-api-python) | | **Fulcra Context MCP** | Personal context MCP server providing unified access to biometric, sleep, activity, and calendar data for AI agents via the Fulcra Life API — enables healthcare AI applications to incorporate real-time patient-reported wellness data | ![Star](https://img.shields.io/github/stars/fulcradynamics/fulcra-context-mcp.svg?style=social&label=Star) <br> [GitHub](https://github.com/fulcradynamics/fulcra-context-mcp) \| [Python Client](https://github.com/fulcradynamics/fulcra-api-python) |
| **Juno Open Health Tools** | Consent-gated MCP server that turns user-provided health notes into appointment agendas, question lists, symptom timelines, clinician briefs, and safety checklists without diagnosis or treatment recommendations | ![Star](https://img.shields.io/github/stars/MarshallBear1/juno-open-health-tools.svg?style=social&label=Star) <br> [GitHub](https://github.com/MarshallBear1/juno-open-health-tools) \| [MCP Server](https://juno-health-tools.vercel.app/api/mcp) |
| **Genomic Agent Discovery** | Multi-agent MCP server for genomic analysis — specialized AI agents analyze raw DNA files across 12 databases (ClinVar, GWAS, AlphaMissense, CPIC, gnomAD, etc.) and coordinate findings through shared MCP tools. Privacy-first, runs 100% locally | ![Star](https://img.shields.io/github/stars/HelixGenomics/Genomic-Agent-Discovery.svg?style=social&label=Star) <br> [GitHub](https://github.com/HelixGenomics/Genomic-Agent-Discovery) | | **Genomic Agent Discovery** | Multi-agent MCP server for genomic analysis — specialized AI agents analyze raw DNA files across 12 databases (ClinVar, GWAS, AlphaMissense, CPIC, gnomAD, etc.) and coordinate findings through shared MCP tools. Privacy-first, runs 100% locally | ![Star](https://img.shields.io/github/stars/HelixGenomics/Genomic-Agent-Discovery.svg?style=social&label=Star) <br> [GitHub](https://github.com/HelixGenomics/Genomic-Agent-Discovery) |
## Healthcare RAG & Knowledge Systems ## Healthcare RAG & Knowledge Systems
@@ -1345,7 +1352,3 @@ This awesome list is maintained by a collaborative team from the University of N
# Paper Annotations # Paper Annotations
To promote transparency and reproducibility, we provide the structured annotation sheet used in our survey, including labels for technologies, medical domains, tasks, development stages, data modalities, and evaluation metrics. View the full Google Sheet here: [Link](https://docs.google.com/spreadsheets/d/15VfUS36CqaJRRldtiXZ4LicTVc_0puk8v98mUWWrPOg/edit?usp=sharing) To promote transparency and reproducibility, we provide the structured annotation sheet used in our survey, including labels for technologies, medical domains, tasks, development stages, data modalities, and evaluation metrics. View the full Google Sheet here: [Link](https://docs.google.com/spreadsheets/d/15VfUS36CqaJRRldtiXZ4LicTVc_0puk8v98mUWWrPOg/edit?usp=sharing)
# Star History
[![Star History Chart](https://star-history.dera.page/svg?repos=AgenticHealthAI/Awesome-AI-Agents-for-Healthcare&type=date&legend=top-left)](https://star-history.dera.page/#AgenticHealthAI/Awesome-AI-Agents-for-Healthcare&type=date&legend=top-left)