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AI-based Predictive and Interventional System for Early Detection of Non-compliance Risks With Oral Therapies in Lymphoma Patients.
Sponsor: Grand Hôpital de Charleroi
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.
Official title: 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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
210
Start Date
2026-02-15
Completion Date
2029-02-15
Last Updated
2026-04-22
Healthy Volunteers
No
Conditions
Interventions
Retrospective Group
For the retrospective group of 20 patients.
Prospective Group
Follow-up of the patients for the prospective group
Locations (1)
Grand Hôpital de Charleroi
Charleroi, Hainaut, Belgium