2021 Fiscal Year Final Research Report
Development of medical care support systems using an artificial intelligence approach for optimizing heart failure treatment
Project/Area Number |
19K17529
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 53020:Cardiology-related
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Research Institution | Kyushu University |
Principal Investigator |
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Project Period (FY) |
2019-04-01 – 2022-03-31
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Keywords | 慢性心不全 / 人工知能 / 診療支援システム |
Outline of Final Research Achievements |
This study aimed to develop a medical care support system using artificial intelligence technology to recognize the patients' condition with the level of specialists for heart failure treatment and propose optimal treatments. As a prototype model of the medical care support system, we developed an AI model that offers optimal prescriptions adjustment of an anticoagulant, one of the main therapeutic drugs in heart failure treatments. Furthermore, based on the large-scale heart failure registry (JROADHF), we have also developed an AI model that predicts the status and prognosis of patients with heart failure from DPC data (Diagnosis Procedure Combination). We revealed that our developed AI model could evaluate with higher accuracy than the heart failure risk model.
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Free Research Field |
循環器内科
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Academic Significance and Societal Importance of the Research Achievements |
心不全診療は、この半世紀で様々な検査法、治療法が開発され選択肢そのものが多様化した。心不全治療は、病態把握から治療方針の選択の過程は非常に複雑であり、個々の診療においてはさらに専門的な知識・経験が要求される。 このように多様化・複雑化する心不全診療について、人工知能(AI)を応用することで、治療の最適化をサポートできると考えている。今回、心不全診療において、患者の状態把握や、処方調整を提案するAI開発を目的とした。本システムが確立することで、心不全診療のリソース問題の解決や、早期から専門的な治療介入により、心不全の増悪予防や予後改善も見込まれる。
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