Usability and Clinical Effectiveness of an Interpretable Deep Learning Framework for Post-Hepatectomy Liver Failure Prediction

Conditions:   Post-hepatectomy Liver Failure;   Hepatocellular Carcinoma;   Artificial Intelligence Interventions:   Other: The explanation of deep learning framework (VAE-MLP) , including counterfactual explanations and layerwise relevance propagation;   Other: The model prediction;   Other: The model prediction and the explanation of deep learning framework (VAE-MLP) , including counterfactual explanati ons and layerwise relevance propagation Sponsors:   Maastricht University;   First Affiliated Hospital, Sun Yat-Sen University Not yet recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials