Abstract

Features| June 2021 Anesthesia Innovation with AI: The Power Is Ours Vesela P. Kovacheva, MD, PhD; Vesela P. Kovacheva, MD, PhD Search for other works by this author on: This Site PubMed Google Scholar Raphael Y. Cohen, BS; Raphael Y. Cohen, BS Search for other works by this author on: This Site PubMed Google Scholar Logan Scoon, MS, BS; Logan Scoon, MS, BS Search for other works by this author on: This Site PubMed Google Scholar David W. Bates, MD, MSc David W. Bates, MD, MSc Search for other works by this author on: This Site PubMed Google Scholar ASA Monitor June 2021, Vol. 85, 34–35. https://doi.org/10.1097/01.ASM.0000754260.61965.66 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Cite Icon Cite Get Permissions Search Site Citation Vesela P. Kovacheva, Raphael Y. Cohen, Logan Scoon, David W. Bates; Anesthesia Innovation with AI: The Power Is Ours. ASA Monitor 2021; 85:34–35 doi: https://doi.org/10.1097/01.ASM.0000754260.61965.66 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAll PublicationsASA Monitor Search Advanced Search Topics: disclosure, intraoperative care, patient safety, surgical procedures, operative, technology, bradycardia, infusion pumps, adoption, decision making, electronic medical records Imagine a future day at work powered by artificial intelligence (AI) technologies. Your patient that day has been risk-stratified preoperatively, and all conditions have been optimized according to the most current guidelines. As you talk to the patient, the preoperative note is updated automatically, aided by an AI voice-recognition technology. Vital signs are monitored remotely. If there is a problem with placing the I.V., the AI-enhanced ultrasound makes it a breeze. On induction, you select what medications to use, an intelligent infusion pump determines a personalized amount for the patient and titrates the doses automatically. During the operative course, EHR-integrated algorithms predict blood loss, duration of surgery, risk for complications, and suggest the best course of action for mitigation. In the PACU, care is optimized by AI models relevant to the specific type of surgery to minimize patient recovery time and to optimize pain control. Additional algorithms can further aid... You do not currently have access to this content.

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