AIM in Anesthesiology-Reference-Cited by-同舟云学术

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AIM in Anesthesiology

Published:2022 Issue: Volume: Page:1453-1467
ISSN:
Container-title:Artificial Intelligence in Medicine
language:
Short-container-title:

Author:

Komorowski Matthieu,Joosten Alexandre

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-64573-1_246

Reference130 articles.

1. Barash PG, et al. Clinical anesthesia, 8e: print + Ebook with multimedia. 8th ed. LWW; 2017.

2. Hashimoto DA, Witkowski E, Gao L, Meireles O, Rosman G. Artificial intelligence in anesthesiology current techniques, clinical applications, and limitations. Anesthesiology. 2020;132(2):379–94. https://doi.org/10.1097/ALN.0000000000002960.

3. Veselis RA, Reinsel R, Sommer S, Carlon G. Use of neural network analysis to classify electroencephalographic patterns against depth of midazolam sedation in intensive care unit patients. J Clin Monit. 1991;7(3):259–67. https://doi.org/10.1007/BF01619271.

4. Veselis RA, Reinsel R, Wronski M. Analytical methods to differentiate similar electroencephalographic spectra: neural network and discriminant analysis. J Clin Monit. 1993;9(4):257–67. https://doi.org/10.1007/BF02886696.

5. Ortolani O, et al. EEG signal processing in anaesthesia. Use of a neural network technique for monitoring depth of anaesthesia. Br J Anaesth. 2002;88(5):644–8. https://doi.org/10.1093/bja/88.5.644.

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