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Clinical trial

Usability and Clinical Effectiveness of an Interpretable Deep Learning Framework (VAE-MILP) Using Counterfactual Explanations and Layerwise Relevance Propagation Framework for Post-Hepatectomy Liver Failure Prediction

NCT06031818 is registered in ClinicalTrials.gov with Maastricht University as lead sponsor.

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Registry record

As filed in ClinicalTrials.gov.

Title
Usability and Clinical Effectiveness of an Interpretable Deep Learning Framework (VAE-MILP) Using Counterfactual Explanations and Layerwise Relevance Propagation Framework for Post-Hepatectomy Liver Failure Prediction
Lead sponsor
Maastricht University
Phase
Observational
Overall status
Unknown status
Start date
December 10, 2023
Completion date
March 15, 2024
Enrollment
80 (estimated)
Sites
1

Conditions

As the registry lists them; a condition with its own page is linked.

artificial intelligence, hepatocellular carcinoma, post-hepatectomy liver failure