Spots Global Cancer Trial Database for interpretability
Every month we try and update this database with for interpretability cancer trials from around the world to help patients and their families find trials that might be right for them.
We offer this 100% free of charge and do not endorse any of the trials listed here, we hope it helps you or a loved one.
The following info and data is provided "as is" to help patients around the globe.
We do not endorse or review these studies in any way.
| Study title | NCT ID | Conditions | Interventions | Eligibility | Organization | Link |
|---|---|---|---|---|---|---|
| Usability and Clinical Effectiveness of an Interpretable Deep Learning Framework for Post-Hepatectomy Liver Failure Prediction | NCT06031818 | Post-hepatectom... Hepatocellular ... Artificial Inte... | The explanation... The model predi... The model predi... | - | Maastricht University |
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