RareDASH: A Dynamic Multi-Agent System for Holistic Rare Disease Care
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8564-8568.
https://doi.org/10.24963/ijcai.2026/1004
Keywords
- AI: Humans and AI
- AI: Agent-based and Multi-agent Systems
- AI: Planning and Scheduling
Abstract
Rare diseases are characterized by low prevalence and intricate pathogenesis, leading to highly heterogeneous clinical trajectories. The care of rare disease presents formidable challenges due to the requirement for highly specialized expertise and experiences. Existing methods are typically tailored for isolated rare disease scenarios (e.g., diagnostic tasks, medication recommendations), which lacks a comprehensive perspective of the entire care process. Inspired by recent studies of agent skills, we propose RareDASH, a multi-agent system (MAS) featuring dynamic workflow orchestration designed to provide a comprehensive solution for the full life-cycle of rare disease care. Our framework is inherently patient-centric, enhancing rare disease discovery capabilities through proactive inquiry and information elicitation directly from the patients. Furthermore, we implement diverse agent memory to optimize both the accuracy and efficiency of the multi-agent collaboration. Finally, an online auditing module is integrated into the system to monitor and mitigate the hallucinations, ensuring the reliability of clinical outputs. The work sheds light on the feasibility of leveraging MAS in holistic rare disease care.
@inproceedings{ijcai2026p1004,
title = {RareDASH: A Dynamic Multi-Agent System for Holistic Rare Disease Care},
author = {Zhong, Jialun and Yu, Jiayang and Li, Yanzeng and Qin, Meng and Zou, Lei and Wang, Yuqian and Zhang, Ying and Li, Hanna and Yan, Liying and Qiao, Jie},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {8564--8568},
year = {2026},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2026/1004},
url = {https://doi.org/10.24963/ijcai.2026/1004},
}
TY - CPAPER TI - RareDASH: A Dynamic Multi-Agent System for Holistic Rare Disease Care AU - Zhong, Jialun AU - Yu, Jiayang AU - Li, Yanzeng AU - Qin, Meng AU - Zou, Lei AU - Wang, Yuqian AU - Zhang, Ying AU - Li, Hanna AU - Yan, Liying AU - Qiao, Jie T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 8564 EP - 8568 DO - 10.24963/ijcai.2026/1004 UR - https://doi.org/10.24963/ijcai.2026/1004 ER -Copied
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