Joint Patent Acquired for Treatment Planning Support System Utilizing Multi-AI Agents
Qsol Corporation and Kumamoto University have jointly acquired a patent for a 'Treatment Support System' that leverages multiple AI agents, each simulating various medical professionals, to collaboratively assist in formulating treatment plans.
📋 Article Processing Timeline
- 📰 Published: May 26, 2026 at 23:00
- 🔍 Collected: May 26, 2026 at 14:31
- 🤖 AI Analyzed: May 26, 2026 at 15:17 (45 min after Collected)
Qsol Corporation (Fukuoka City, Fukuoka Prefecture; President: Ken Hirowatari) and Kumamoto University (Kumamoto City, Kumamoto Prefecture; President: Hisao Ogawa) have announced the joint acquisition of a patent (Patent No. 7835948) for a 'Treatment Support System.' This system, a result of joint research on generative AI in the medical field, uses multiple AI agents to support the formulation of treatment plans through collaboration.
Overview of the Patented Technology
This patent covers a system that uses patient medical history and test results to configure multiple AI agents, each virtually assuming the roles of medical professionals such as internists, surgeons, pharmacists, and clinical engineers. These agents evaluate and output treatment proposals from their respective professional perspectives before integrating them into a final proposal.
The agents collaborate in a workflow-oriented manner, replicating the検討 (deliberation) process seen in multi-professional medical conferences. The system is designed with the premise of physician verification and modification, aiming to support decision-making rather than replacing it.
Features
- Multi-AI agent structure with clearly defined medical professional roles
- Workflow-based design mimicking multi-professional clinical conferences
- Use of RAG (Retrieval-Augmented Generation) to reference medical guidelines, drug inserts, and past cases
- Safety considerations through 'Human in the Loop' verification by physicians
Future Prospects
This patent is a product of joint research between the Kumamoto University Hospital Medical Information Management Planning Department and Qsol. Future plans include evaluating potential applications in medical operations, such as treatment planning support, based on real-world clinical needs. Qsol and Kumamoto University will continue to collaborate to address societal challenges in healthcare, supporting physician workload reform.
(Diagram: Image of the Treatment Planning Support System, showing multiple AIs like physician-AI and pharmacist-AI deliberating to propose a plan to the user/physician.)
Key Generative AI Technologies
- RAG: Provides expert information to generative AI to enable professional responses.
- AI Agent: Autonomously plans tasks, makes decisions, and takes actions to solve problems.
- Multi-AI Agent: Multiple agents work together to solve complex problems.
Development was conducted in compliance with relevant regulations, including ethical guidelines for life science and medical research, and safety management guidelines for medical information systems, following approval by an ethics committee. Electronic health records are used only as input for support and are never used to train the generative AI.
About Kumamoto University
A comprehensive university with high global recognition in education and research, contributing to improved healthcare quality through advanced research and community collaboration.
About Qsol Corporation
Since its founding in 1987 as a member of the Kyushu Electric Power Group, Qsol has focused on system development and operation for stable power supply, offering unique solutions for various challenges using its expertise and new technologies.
Overview of the Patented Technology
This patent covers a system that uses patient medical history and test results to configure multiple AI agents, each virtually assuming the roles of medical professionals such as internists, surgeons, pharmacists, and clinical engineers. These agents evaluate and output treatment proposals from their respective professional perspectives before integrating them into a final proposal.
The agents collaborate in a workflow-oriented manner, replicating the検討 (deliberation) process seen in multi-professional medical conferences. The system is designed with the premise of physician verification and modification, aiming to support decision-making rather than replacing it.
Features
- Multi-AI agent structure with clearly defined medical professional roles
- Workflow-based design mimicking multi-professional clinical conferences
- Use of RAG (Retrieval-Augmented Generation) to reference medical guidelines, drug inserts, and past cases
- Safety considerations through 'Human in the Loop' verification by physicians
Future Prospects
This patent is a product of joint research between the Kumamoto University Hospital Medical Information Management Planning Department and Qsol. Future plans include evaluating potential applications in medical operations, such as treatment planning support, based on real-world clinical needs. Qsol and Kumamoto University will continue to collaborate to address societal challenges in healthcare, supporting physician workload reform.
(Diagram: Image of the Treatment Planning Support System, showing multiple AIs like physician-AI and pharmacist-AI deliberating to propose a plan to the user/physician.)
Key Generative AI Technologies
- RAG: Provides expert information to generative AI to enable professional responses.
- AI Agent: Autonomously plans tasks, makes decisions, and takes actions to solve problems.
- Multi-AI Agent: Multiple agents work together to solve complex problems.
Development was conducted in compliance with relevant regulations, including ethical guidelines for life science and medical research, and safety management guidelines for medical information systems, following approval by an ethics committee. Electronic health records are used only as input for support and are never used to train the generative AI.
About Kumamoto University
A comprehensive university with high global recognition in education and research, contributing to improved healthcare quality through advanced research and community collaboration.
About Qsol Corporation
Since its founding in 1987 as a member of the Kyushu Electric Power Group, Qsol has focused on system development and operation for stable power supply, offering unique solutions for various challenges using its expertise and new technologies.
FAQ
今回特許を取得した技術は何ですか？
内科医、外科医、薬剤師、臨床工学技士といった複数の医療専門職の役割を担うAIエージェントが協調し、治療方針案の立案を支援する「治療支援システム」です。
このシステムは医師の判断を代替するのですか？
いいえ、代替するものではありません。医師による確認・修正を前提とした設計であり、あくまで医師の意思決定支援を目的としています。
本特許技術の主な特徴は何ですか？
医療専門職の役割を定義したマルチAIエージェント構成、実臨床のカンファレンスを模したワークフロー型設計、RAG機能の活用、そして安全性に配慮したHuman in the Loop設計です。
開発にあたり遵守している指針はありますか？
「人を対象とする生命科学・医学系研究に関する倫理指針」および「医療情報システムの安全管理に関するガイドライン」等の関連規則を遵守しています。
医療情報はAIの学習に使用されますか？
いいえ、電子カルテ等の医療情報は検討支援のための入力として利用される場合がありますが、生成AIの学習データとしては使用されません。