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Author

S. Ziti

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Open access 2026

AI-Based Preprocessing and R-Squared Weighted Federated Aggregation for Robust Healthcare Signal Imputation

Federated learning is an emerging paradigm for collaborative model training in healthcare applications where sensitive patient data cannot be centralized due to privacy concerns; however, missing values in physiological signals remain a major challenge, often leading to degraded model accuracy and unstable convergence....

Benachir Rigalma, Hamid Ouhnni, M. Belhiah et al. · 0 citations
#small language model Review Sep 2026

FHIR as an interoperability enabler for clinical applications: a narrative review of implementations, impacts, and future challenges.

FHIR has successfully catalyzed widespread technical innovation and serves as the foundation for advanced clinical applications, however, a significant translational gap persists and future efforts should expand beyond technical development.

Wafae Abbaoui, S. Ziti, Sara Retal · 0 citations
Open access Jul 2026

Integrating Multi-Source Pulmonary X-Ray Data into a Cross-Validated CNN with AdamW and Augmentation

This study presents an approach for classifying lung diseases using a tailored convolutional neural network (CNN) that combines several chest X-ray (CXR) datasets and applies extensive data augmentation to build a balanced dataset and improve generalization.

Fouad Issouani, Ayyad Maafiri, S. Ziti · 0 citations

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