Clinical Trial

Machine Learning Model for Predicting Recovery After Critical Illness

Completed
View on ClinicalTrials.gov →
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?
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2026-05-23.
Trial Details
NCT Number NCT07616388
Lead Sponsor Hospital de Clinicas de Porto Alegre
Collaborators: Federal University of Rio Grande do Sul, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Brazil
Conditions Funcional Status, Return to Work, Predictive Learning Models
Enrollment 2,016 participants
Start Date 2026-03-15
Primary Completion 2026-03-20 (estimated)
Study Completion 2026-04-15 (estimated)
Updated on ClinicalTrials.gov 2026-06-10