21th AIAI 2025, 26 - 29 June 2025, Limassol, Cyprus

An Explainable AI System for Clinical Decision Support in Schwannomatosis

Pittara Melpo, Kyriacou Anastasia, Koumi Adamos, Matsangidou Maria, Schiza Eirini, Pattichis Constantinos S., Kakas Antonis

Abstract:

  Schwannomatosis is a rare tumor disease characterized by multiple benign nerve-sheath tumors. The complexity of diagnostic pathways and management guidelines highlights the need for robust decision-support tools for health professionals. This paper presents an Explainable AI (XAI) system designed to assist in the diagnosis and management of Schwannomatosis disease. The XAI system integrates ERN GENTURIS clinical guidelines into Controlled Natural Language (CNL) within the Cognica framework transforms them into structured decision logic. By translating natural language policies into transparent, interpretable recommendations the system enhances diagnostic accuracy and supports informed treatment decisions. Through simulated case studies, we evaluate its effectiveness in improving trust and usability among clinicians. We also discuss current system limitations and propose future enhancements for expanding clinical applicability.  

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