Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correlation of absolute nil-per-oral status with inferior vena cava collapsibility index and post-spinal hypotension in infra-umbilical surgeries: An observational study.

Indian journal of anaesthesia·2026
Same author

A Call for Vigilance: Trigeminocardiac Reflex Presenting As Ventricular Bigeminy During Marginal Mandibulectomy.

Cureus·2026
Same author

High-Cost Healthcare Technology Versus Employment Generation: Equity, Evidence, and Influence in Developing Health Systems.

Cureus·2026
Same author

C-reactive Protein/Albumin Ratio in Septic Polytrauma: Predictive Marker or Concurrent Indicator?

Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine·2026
Same author

Comparison of Optimal and Excess Fresh Gas Flow for Pre-intubation Oxygenation: A Randomized, Participant-Blind, Non-inferiority Study.

Cureus·2026
Same author

Timing Matters: Caution and Opportunity in Early Vasopressin for Septic Shock.

Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine·2026

Related Experiment Video

Updated: Jun 25, 2025

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients
09:44

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients

Published on: April 12, 2011

81.2K

Deep Machine Learning Might Aid in Combating Intensive Care Unit-Acquired Weakness.

Chinmaya K Panda1, Habib Md R Karim2

  • 1Anaesthesiology, Critical Care, and Pain Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND.

Cureus
|May 27, 2024
PubMed
Summary

Intensive care unit (ICU)-associated weakness is a common complication. Artificial intelligence can help identify risk factors to develop preventive strategies for this critical illness myopathy.

Keywords:
artificial intelligencecritical illnessintensive care unitmachine learningweakness

More Related Videos

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.0K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.4K

Related Experiment Videos

Last Updated: Jun 25, 2025

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients
09:44

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients

Published on: April 12, 2011

81.2K
The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals
07:30

The Muscle Cuff Regenerative Peripheral Nerve Interface for the Amplification of Intact Peripheral Nerve Signals

Published on: January 13, 2022

2.0K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.4K

Area of Science:

  • Critical care medicine
  • Neurology
  • Artificial intelligence in healthcare

Background:

  • ICU-associated weakness (ICU-AW) is a frequent complication in critically ill patients, particularly those on prolonged mechanical ventilation.
  • ICU-AW can stem from critical illness itself, myopathy, or neuropathy, significantly impacting patient recovery.
  • Currently, no definitive treatment exists for ICU-AW, making prevention a primary clinical goal.

Discussion:

  • The complex pathophysiology of ICU-AW presents challenges in identifying risk factors and formulating effective preventive strategies.
  • Deep machine learning, a subset of artificial intelligence, offers a powerful tool for analyzing intricate patient data.
  • AI can help delineate the multifactorial causes of ICU-AW and quantify the contribution of various risk factors.

Key Insights:

  • Understanding the precise risk factors and their relative importance is crucial for developing targeted ICU-AW prevention.
  • AI-driven analysis of complex datasets can uncover previously unrecognized patterns and contributors to ICU-AW.
  • This approach facilitates a more data-driven and personalized strategy for preventing ICU-AW.

Outlook:

  • Further research employing AI is warranted to validate identified risk factors and refine preventive interventions.
  • The application of AI in critical care can lead to novel therapeutic and prophylactic strategies for ICU-AW.
  • Developing and testing AI-informed preventive pathways holds promise for reducing the incidence and impact of ICU-AW.