18571597. Artificial Intelligence Assisted Control of Hemodynamics and Anesthesia in Surgery Patients simplified abstract (The Regents of the University of California)

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Artificial Intelligence Assisted Control of Hemodynamics and Anesthesia in Surgery Patients

Organization Name

The Regents of the University of California

Inventor(s)

Chih-Ming Ho of Los Angeles CA (US)

Soban Umar of Los Angeles CA (US)

Jure Marijic of Los Angeles CA (US)

Michael Zargari of Woodland Hills CA (US)

Daniel Garcia of Los Angeles CA (US)

Jinyoung Brian Jeong of Los Angeles CA (US)

Artificial Intelligence Assisted Control of Hemodynamics and Anesthesia in Surgery Patients - A simplified explanation of the abstract

This abstract first appeared for US patent application 18571597 titled 'Artificial Intelligence Assisted Control of Hemodynamics and Anesthesia in Surgery Patients

Simplified Explanation: This patent application describes systems and methods for using artificial intelligence to control hemodynamics in an individual by guiding the administration of vasopressors and/or vasodilators based on a phenotypic response surface (PRS) or individualized sensitivity.

  • The patent application introduces the concept of a phenotypic response surface (PRS) to describe physiological responses to vasopressors and/or vasodilators.
  • It proposes using the PRS to guide the administration of vasopressors and/or vasodilators in individuals.
  • The application suggests determining individualized responses to vasopressors and/or vasodilators based on changes in pressure, rather than relying on population-based averages.
  • Continual updating of the PRS and individualized sensitivity based on physiological responses is also a key feature of the innovation.
  • The systems and methods described in the patent application aim to optimize the control of hemodynamics in individuals through personalized approaches.

Potential Applications: 1. Critical care settings for managing hemodynamics in patients with circulatory instability. 2. Anesthesia management to tailor vasopressor and vasodilator administration during surgeries. 3. Emergency medicine for rapid and precise control of blood pressure in acute situations.

Problems Solved: 1. Lack of personalized approaches in hemodynamic management. 2. Inaccuracies in vasopressor and vasodilator dosing based on population averages. 3. Difficulty in adapting treatment to individual physiological responses.

Benefits: 1. Improved hemodynamic control in individuals. 2. Enhanced precision in vasopressor and vasodilator administration. 3. Potential for better outcomes and reduced complications in critical care scenarios.

Commercial Applications: Optimizing Hemodynamic Control in Critical Care: Enhancing Patient Outcomes and Safety

Questions about Artificial Intelligence in Hemodynamic Control: 1. How does the use of a phenotypic response surface (PRS) improve the administration of vasopressors and vasodilators? 2. What are the potential implications of continually updating the PRS and individualized sensitivity based on physiological responses in clinical practice?

Frequently Updated Research: Stay updated on the latest advancements in artificial intelligence applications for hemodynamic control to ensure optimal patient care and outcomes.


Original Abstract Submitted

Systems and methods for artificial intelligence enable control of hemodynamics in an individual are provided. A number of embodiments use a phenotypic response surface (PRS) that describes a physiological response to a vasopressor and/or a vasodilator to guide administration of the vasopressor and/or vasodilator. Additional embodiments determine an individualized response to but not limited to a vasopressor and/or vasodilator based on the change in pressure to a dose based on a population-based average. Some embodiments continually update the PRS and/or individualized sensitivity based on changes in physiological response to the vasopressor and/or vasodilator.