New algorithm could help ICU patients get the right rehab at the right time

NCT ID NCT06532994

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study aims to create a prediction tool that helps doctors decide which ICU patients who have been on a breathing machine will benefit most from early rehabilitation. Researchers will collect data from 250 patients and use machine learning to build an algorithm. The goal is to improve recovery and reduce complications by targeting rehab to those who need it.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance

early rehabilitation intervention (physical and cognitive therapy tailored to patient's consciousness and cooperation level)

What this could lead to

If successful, this could help doctors identify which ICU patients are most likely to benefit from early rehab, leading to better recovery and shorter hospital stays.

What could go wrong

This is an early-stage observational study, not a treatment trial. The algorithm may not work for all patients or in different hospitals, and it won't directly improve health on its own.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Zhongnan hospital of Wuhan University

    RECRUITING

    Wuhan, Hubei, 430070, China

    Contact Email: •••••@•••••