Artificial Intelligence Enabled Control of Hemodynamics and Anesthesia in Surgery Patients

UCLA researchers have developed a method that analyzes data from patients undergoing surgery and treatment in the ICU and provides information regarding the optimal dosage of medications. By automating this process, anesthesiologists and critical care …

UCLA researchers have developed a method that analyzes data from patients undergoing surgery and treatment in the ICU and provides information regarding the optimal dosage of medications. By automating this process, anesthesiologists and critical care physicians can instead focus on other vital tasks and ensure better patient outcomes. In testing, this method has been proven to be able to adjust automatically to constantly changing factors and correctly respond to changes in patient conditions.

Abstract

UCLA researchers from the Department of Mechanical and Aerospace Engineering and the Department of Anesthesiology have developed a method for artificial intelligence-guided control of anesthetics and other medications during surgery and in the Intensive Care Unit (ICU).

Website

https://techtransfer.universityofcalifornia.edu/NCD/31959.html?utm_source=AUTMGTP&utm_medium=webpage&utm_term=ncdid_31959&utm_campaign=TechWebsites

Advantages

  • Automated adjustments 
  • Works with current technology 
  • Faster responses to fluctuations

Potential Applications

  • Surgical procedures 
  • Dose responses for non-surgical patients 
  • Intensive Care Unit (ICU)

Contact Information

Name: UCLA Technology Development Group

Email: ncd@tdg.ucla.edu

Phone: 310.794.0558