Published online Jun 9, 2024. doi: 10.5492/wjccm.v13.i2.91397
Revised: January 27, 2024
Accepted: March 6, 2024
Published online: June 9, 2024
Processing time: 158 Days and 13.4 Hours
Core Tip: This manuscript provided a comprehensive review of multimodal monitoring (MMM) in the intensive care unit, emphasizing the integration of neurophysics to optimize patient outcomes. It covered invasive and noninvasive neuromonitoring tools and highlighted the role of machine learning in real-time data analysis and interpretation from MMM tools, aiding in precise clinical decision-making. By integrating diverse data streams through MMM, machine learning algorithms enhance the understanding of cerebral physiology and disease, offering invaluable insights for personalized patient care in the intensive care unit. This integration aids the neurointensivist in more accurate neuroprognostication and in future avenues for targeted therapeutic interventions.
