Development of a Bispectral index score prediction model based on an interpretable deep learning algorithm.

Journal: Artificial intelligence in medicine
Published Date: May 2, 2023

Abstract

BACKGROUND: Proper maintenance of hypnosis is crucial for ensuring the safety of patients undergoing surgery. Accordingly, indicators, such as the Bispectral index (BIS), have been developed to monitor hypnotic levels. However, the black-box nature of the algorithm coupled with the hardware makes it challenging to understand the underlying mechanisms of the algorithms and integrate them with other monitoring systems, thereby limiting their use.

Authors

  • Eugene Hwang
    School of Management Engineering, Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea.
  • Hee-Sun Park
    Biosignal Analysis and Perioperative Outcome Research Laboratory, Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: heespark@amc.seoul.kr.
  • Hyun-Seok Kim
    Section of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas.
  • Jin-Young Kim
    Department of Robotics Engineering, DGIST-ETH Microrobot Research Center, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 333 Techno Jungang-daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, Republic of Korea.
  • Hanseok Jeong
    Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Junetae Kim
    Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.
  • Sung-Hoon Kim
    Asan Medical Center, Department of Anesthesiology and Pain Medicine, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Seoul 05505, Korea.

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