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.
Keywords: Big data; Critical care; Data annotation; Informatics; Physiologic monitoring; Standards.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature and Neurocritical Care Society.