AI-based Predictive and Interventional System for Early Detection of Non-compliance Risks With Oral Therapies in Lymphoma Patients.
AI-based Predictive and Interventional System for Early Detection of Non-compliance Risks With Oral Therapies in Lymphoma Patients, Integrating the Complete Care Pathway and an Interoperable Clinical Interface With Algorithms Paired With Explainability Tools.
Grand Hôpital de Charleroi
210 participants
Feb 15, 2026
OBSERVATIONAL
Conditions
Summary
This research forms part of a continuous quality improvement initiative. It aims to assess patient compliance of oral therapies by artificial intelligence. It could overcome the limitations of current practices and enhance the responsiveness and accuracy of clinical interventions.
Eligibility
Inclusion Criteria3
- All patients aged 18 and over who are treated in the Haematology Department at the Grand Hôpital de Charleroi from November 2025 onwards
- Treated for a lymphoma, Non Hodgkin
- Capable of giving informed consent
Exclusion Criteria1
- All other patients who did not meet the eligibility criteria
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Interventions
For the retrospective group of 20 patients.
Follow-up of the patients for the prospective group
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT07546188