Necessity and importance of develo** AI in anesthesia from the perspective of clinical safety and information security
B Song, M Zhou, J Zhu - Medical science monitor …, 2023 - pmc.ncbi.nlm.nih.gov
The rapid development of artificial intelligence (AI) technology is due to the significant
progress in big data, databases, algorithms, and computing power, and medical research is …
progress in big data, databases, algorithms, and computing power, and medical research is …
[HTML][HTML] Continuous action deep reinforcement learning for propofol dosing during general anesthesia
Purpose Anesthesiologists simultaneously manage several aspects of patient care during
general anesthesia. Automating administration of hypnotic agents could enable more …
general anesthesia. Automating administration of hypnotic agents could enable more …
Deep offline reinforcement learning for real-world treatment optimization applications
There is increasing interest in data-driven approaches for recommending optimal treatment
strategies in many chronic disease management and critical care applications …
strategies in many chronic disease management and critical care applications …
Predicting anesthetic infusion events using machine learning
Recently, research has been conducted to automatically control anesthesia using machine
learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we …
learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we …
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
LL Pullum - ar** a
treatment protocol, personalized medicine, and patient care. Second-order cognitive …
treatment protocol, personalized medicine, and patient care. Second-order cognitive …
Data-Driven Based Bispectral Index Prediction During General Anesthesia.
AT Namel, MA Sahib - Journal Européen des Systèmes …, 2024 - search.ebscohost.com
Target-controlled infusion systems require accurate anesthetic effect prediction. Manually
choosing model parameters for bispectral index (BIS) prediction in the classic (PK-PD) …
choosing model parameters for bispectral index (BIS) prediction in the classic (PK-PD) …
[PDF][PDF] A Comprehensive Review on Automated Control of Anesthesia: Recent Methods, Challenges and Future Trends
A TOMA - Wasit Journal for Pure sciences, 2023 - iasj.net
The safe and personalized administration of anesthetic drugs is a significant concern in
clinical practice, and automated control of anesthesia can address this issue by reducing …
clinical practice, and automated control of anesthesia can address this issue by reducing …
Application of model predictive control and moving horizon estimation for the development of closed-loop inhaled anesthetics administration
F Sánchez, AM Hernández - 2022 Global Medical Engineering …, 2022 - ieeexplore.ieee.org
This work presents the simultaneous application of the model predictive control (MPC) and
the moving horizon estimation (MHE) for the development and simulation of a closed-loop …
the moving horizon estimation (MHE) for the development and simulation of a closed-loop …