Machine Learning Model for Predicting Recovery After Critical Illness (NCT07616388) | Clinical Trial Compass
CompletedNot Applicable
Machine Learning Model for Predicting Recovery After Critical Illness
Brazil2,016 participantsStarted 2026-03-15
Plain-language summary
This study aims to develop and test an artificial intelligence (AI) model to predict long-term functional status and return to work after critical illness.
The main question is:
Can we develop and validate a machine learning model to predict long-term functional status and return to work after critical illness?
Who can participate
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Age ≥18 years
* ICU stay ≥ 72 hours
* ICU stay ≥ 120 hours if the participant was admitted for elective surgery
Exclusion Criteria:
* No telephone contact available
* Failure to establish contact
* Transfer to another ICU
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1This trial used machine learning to predict recovery and functional status after critical illness — can you tell me what the model actually predicted, and whether any of those findings might be relevant to my own recovery outlook?
2Since this trial is already completed, has the predictive model it developed been validated or adopted in any clinical settings, and could it be used to help guide my care plan?
3The trial looked at return to work as part of recovery — based on what's been published or presented from this study, what does the research suggest about realistic timelines for getting back to normal functioning after a critical illness like mine?
4Machine learning models are only as good as the patient data they were trained on — do you know whether the population in this study is similar enough to me that its predictions would be meaningful for my situation?
5Are there other tools or assessments my care team already uses to predict my functional recovery, and how do they compare to what this trial was trying to develop?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Functional Status
Timeframe: 3rd, 6th and 12th months after ICU discharge