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RECRUITING
NCT07546188

AI-based Predictive and Interventional System for Early Detection of Non-compliance Risks With Oral Therapies in Lymphoma Patients.

Sponsor: Grand Hôpital de Charleroi

View on ClinicalTrials.gov

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

Interventions

OTHER

Retrospective Group

For the retrospective group of 20 patients.

OTHER

Prospective Group

Follow-up of the patients for the prospective group

Locations (1)

Grand Hôpital de Charleroi

Charleroi, Hainaut, Belgium