Method and system for adjusting anesthetic drug infusion rate based on physiologic data
By using a method for adjusting the anesthetic drug infusion rate based on vital signs data, and leveraging an AI decision-making model with an LSTM+attention mechanism and a rate threshold set by the physician, individualized closed-loop adjustment of the anesthetic drug infusion rate was achieved. This solved the problems of poor individualization and imbalance of physician control in existing technologies, and improved the safety and efficiency of anesthesia management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FOURTH MILITARY MEDICAL UNIVERSITY
- Filing Date
- 2026-04-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing intravenous general anesthesia management techniques suffer from poor individualization, lack of closed-loop automatic adjustment, imbalance between physician control and system autonomy, and untimely information feedback, making it difficult to meet the needs for efficient, safe, and personalized anesthesia management.
A method for adjusting the infusion rate of anesthetic drugs based on vital sign data is adopted. By acquiring vital sign data, using an AI decision-making model with LSTM and attention mechanism, and combining it with the rate threshold set by the doctor, a closed-loop adjustment of the individualized drug administration rate recommendation value is achieved, supporting human-computer interaction and visual feedback.
It achieves precise adaptation to individual patient differences, improves the safety and efficiency of anesthesia management, reduces the incidence of adverse events such as excessively deep or shallow anesthesia and intraoperative awareness, supports the balance of physician leadership, and improves the applicability and controllability of the system in complex clinical scenarios.
Smart Images
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