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Using augmented intelligence to improve long term outcomes.

Itay Zahavi1, Itamar Ben Shitrit2, Sharon Einav3

  • 1Bruce and Ruth Rappaport Faculty of Medicine, Technion - Israel Institute of Technology Haifa.

Current Opinion in Critical Care
|August 16, 2024
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Summary
This summary is machine-generated.

Augmented intelligence (AI) tools can improve long-term outcomes for intensive care unit (ICU) survivors. AI applications are being developed for post-ICU care, including monitoring and managing patient recovery.

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Area of Science:

  • Critical care medicine
  • Artificial intelligence in healthcare
  • Patient outcomes

Background:

  • Augmented intelligence (AI) tools hold significant potential for improving long-term outcomes in critical care.
  • Effective AI implementation requires careful design focused on patient recovery and caregiver support.

Purpose of the Study:

  • To provide an overview of the current state-of-the-art in AI for critical care.
  • To align professionals on the application of AI in post-intensive care unit (ICU) survivor management.

Main Methods:

  • Review of current AI tools and technologies for post-ICU care.
  • Assessment of AI applications in domains such as deterioration detection, functional recovery, and mental health.

Main Results:

  • Numerous AI tools are under assessment for supporting ICU survivors and caregivers.
  • AI applications target physiological and mental deterioration, physical function, pain, sleep, nutrition, and cognitive/mental health.
  • While many AI technologies are in development or marketed, most require clinical outcome testing and lack formal regulatory approval.

Conclusions:

  • Holistic follow-up systems incorporating AI across multiple platforms are essential for ICU survivor long-term management.
  • A tiered post-ICU screening program utilizing AI can provide automated assistance for less severe cases and facilitate referrals for complex conditions.