Articles

Artificial Intelligence in Healthcare

AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone

Academic Edition, Chapter 31 - References/Further Reading

General Edition, Chapter 14 - References/Further Reading

 

  1. Gu Y, Liang Z, Hagihira S. Use of multiple EEG features and artificial neural network to monitor the depth of anesthesia. Sensors. 2019 Jan;19(11):2499.
  2. Shalbaf A, Saffar M, Sleigh JW, Shalbaf R. Monitoring the depth of anesthesia using a new adaptive neurofuzzy system. IEEE journal of biomedical and health informatics. 2017 May 29;22(3):671-7.
  3. Shieh JS, Fan SZ, Chang LW, Liu CC. Hierarchical rule-based monitoring and fuzzy logic control for neuromuscular block. Journal of clinical monitoring and computing. 2000 Nov 1;16(8):583-92.
  4. Schädler D, Mersmann S, Frerichs I, Elke G, Semmel-Griebeler T, Noll O, Pulletz S, Zick G, David M, Heinrichs W, Scholz J. A knowledge-and model-based system for automated weaning from mechanical ventilation: technical description and first clinical application. Journal of clinical monitoring and computing. 2014 Oct 1;28(5):487-98.
  5. Synopsis healthcare partners with abc’s affiliate company, plexus technology group, to offer a fully integrated anesthesia perioperative solution in the us and europe | anesthesia business consultants [Internet]. [cited 2021 Jan 21]. Available from: https://www.anesthesiallc.com/news-events/1130-synopsis-healthcare-partners-with-abc-s-affiliate-company-plexus-technology-group-to-offer-a-fully-integrated-anesthesia-perioperative-solution-in-the-us-and-europe
  6. Defining difficult laryngoscopy findings by using multiple parameters: A machine learning approach. Egyptian Journal of Anaesthesia. 2017 Apr 1;33(2):153–8.
  7. Hetherington J, Lessoway V, Gunka V, Abolmaesumi P, Rohling R. SLIDE: automatic spine level identification system using a deep convolutional neural network. International journal of computer assisted radiology and surgery. 2017 Jul 1;12(7):1189-98.
  8. Gonzalez-Cava JM, Arnay R, León A, Martín M, Reboso JA, Calvo-Rolle JL, et al. Machine learning based method for the evaluation of the Analgesia Nociception Index in the assessment of general anesthesia. Comput Biol Med. 2020;118:103645.
  9. Cae healthcare releases microsoft hololens 2 applications [Internet]. [cited 2021 Jan 21]. Available from: https://www.halldale.com/articles/16985-cae-healthcare-releases-microsoft-hololens-2-applications?v=preview
  10. Alexander JC, Joshi GP. Anesthesiology, automation, and artificial intelligence. Proc (Bayl Univ Med Cent). 2017 Dec 5;31(1):117–9.