Harmonization of Physiological Data in Neurocritical Care: Challenges and a Path Forward.

Journal: Neurocritical care
Published Date: Jun 1, 2022

Abstract

Continuous multimodal monitoring in neurocritical care provides valuable insights into the dynamics of the injured brain. Unfortunately, the "readiness" of this data for robust artificial intelligence (AI) and machine learning (ML) applications is low and presents a significant barrier for advancement. Harmonization standards and tools to implement those standards are key to overcoming existing barriers. Consensus in our professional community is essential for success.

Authors

  • Richard Moberg
    Moberg Analytics, Inc, Philadelphia, PA, USA. dick@moberganalytics.com.
  • Ethan Jacob Moyer
    Drexel University, Philadelphia, PA, USA.
  • DaiWai Olson
    University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Eric Rosenthal
    Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Brandon Foreman
    University of Cincinnati, OH, USA.

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