Artificial Intelligence and Machine Learning in Critical Care

Abstract

Features| November 2023 Artificial Intelligence and Machine Learning in Critical Care Ronald G. Pearl, MD, PhD, FASA, FCCM Ronald G. Pearl, MD, PhD, FASA, FCCM Search for other works by this author on: This Site PubMed Google Scholar ASA Monitor November 2023, Vol. 87, 26–28. https://doi.org/10.1097/01.ASM.0000995100.95169.68 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn Email Cite Icon Cite Get Permissions Search Site Citation Ronald G. Pearl; Artificial Intelligence and Machine Learning in Critical Care. ASA Monitor 2023; 87:26–28 doi: https://doi.org/10.1097/01.ASM.0000995100.95169.68 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll PublicationsASA Monitor Search Advanced Search Topics: artificial intelligence, care of intensive care unit patient, machine learning Critical care medicine is an ideal area for the use of artificial intelligence (AI) and machine learning (ML) (Crit Care 2022;26:75). Rounds in the ICU frequently include debates on diagnosis, treatment, prognosis, and the likelihood of patient deterioration. Critical care patients generate massive amounts of data, including vital signs, laboratory results, medication infusion rates, and ventilatory parameters. Continuous waveforms from arterial, central, and pulmonary artery catheters, ventilator waveforms of pressure, flow, and volume versus time, and EEG recordings require data acquisition at frequencies as high as 500 Hz. Imaging studies (X-rays, CT scans, MRI, and ultrasound examination) contain complex data far beyond what is described in a typical radiology report. Critically ill patients continuously change over time, often in response to interventions, and this evolution has implications for diagnosis, treatment, and prognosis. As a result, data must be acquired constantly throughout the ICU stay. AI systems can utilize... You do not currently have access to this content.

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