This Special Issue of RIST : “Revue d’Information Scientifique et Technique” (in English: Journal of Scientific and Technical Information), within the CERIST Collection “Information Processing at the Digital Age Review”, brings together six rigorously selected contributions presented in the framework of the Multi-Conference OCTA’2025, held on 6–7 November 2025 at HIDE University of Tunis. The event gathered five parallel international conferences: SIIE, ISKO-Maghreb, CITED, TBMS, and OCTA, establishing an interdisciplinary platform dedicated to Artificial Intelligence, knowledge organization, information engineering, and advanced digital technologies.
Centered on the thematic focus “Artificial Intelligence in Medical Imaging and Healthcare: Intelligent and Explainable Diagnostic Systems”, this issue reflects the growing convergence between cognitive computing, data-centric medical analysis, and responsible clinical innovation. These six collected chapters collectively, in a set of best papers, address foundational and applied challenges in AI-driven healthcare systems, including structured knowledge modeling, adaptive learning architectures, scalable distributed intelligence, domain specific clinical deployment, explainable AI mechanisms, and governance frameworks for sustainable and ethical medical AI eco-systems.
These contributions advance the state of the art in intelligent diagnostic systems by integrating semantic interoperability, hybrid symbolic-statistical reasoning, robustness under data variability, and transparency in high-stakes clinical environments. Experimental validations across heterogeneous medical datasets demonstrate improvements in predictive reliability, interpretability, computational efficiency, and cross-domain generalization. Beyond algorithmic performance, the issue emphasizes methodological rigor, reproducibility, ethical compliance, and alignment with emerging international regulatory standards.
By bridging theoretical foundations, computational innovation, and translational medical applications, this Special Issue on “Artificial Intelligence in Medical Imaging and Healthcare: Intelligent and Explainable Diagnostic Systems”, contributes to the structuring of AI as a mature scientific discipline within healthcare. It positions intelligent and explainable diagnostics as a cornerstone of next-generation clinical decision support systems and sustainable digital health infrastructures. The interdisciplinary synergy fostered by the Int. Multi Conference OCTA’2025 reinforces the global ambition of RIST to promote responsible, scalable, and knowledge driven Artificial Intelligence research at the international level.

Keywords: Artificial Intelligence; Medical Imaging; Intelligent Diagnostic Systems; Explainable AI (XAI); Clinical Decision Support; Cognitive Computing; Knowledge Representation; Hybrid AI Systems; Data-Centric Healthcare; Distributed AI Architectures; Responsible AI; Digital Health; Semantic Interoperability; Machine Learning in Medicine; AI Governance.

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