AI-Powered Medical Imaging: Computational Cognitive Engineering & Data-Intelligent System Innovations
Overview
This topic focuses on AI‑Powered Medical Imaging: Computational Cognitive Engineering & Data‑Intelligent System Innovations. It brings together advances in computational cognitive modeling, data‑driven intelligent systems, and AI for medical image analysis, interpretation, and clinical translation. Covering deep learning, multimodal fusion, explainable AI, and system optimization, it addresses precision diagnosis, workflow efficiency, and clinical translation challenges. Hosted by Journal of Computational and Cognitive Engineering, Artificial Intelligence and Applications, and Journal of Data Science and Intelligent Systems, it fosters cross‑disciplinary collaboration to drive next‑generation intelligent medical imaging innovations.
Call for Papers
This topic explores AI-driven medical imaging through computational cognitive engineering and data-intelligent systems. Its aim is to advance cognitive-inspired models, explainable AI, and efficient data frameworks for automated interpretation, precise diagnosis, and clinical translation.
Medical imaging increasingly relies on AI, yet issues in transparency, generalization, and clinical alignment persist. Computational cognitive engineering bridges human reasoning and machine perception, while data-intelligent systems enable robust, scalable analysis. This topic is urgent as modern healthcare demands reliable, interpretable, and actionable intelligent tools.
We invite original research and reviews on cognitive computing, multimodal fusion, explainable AI, clinical validation, and real-world deployment.
Keywords
· Cognitive-inspired medical image analysis
· Explainable AI for clinical imaging
· Multimodal medical data fusion
· Data-intelligent diagnostic systems
· Computational cognitive engineering models
· Deep learning in medical imaging
· Trustworthy AI for radiology
· Clinical translation of imaging AI
Participating Journals:
Journal of Computational and Cognitive Engineering
Citescore 2024:19.9-Q1
Artificial Intelligence and Applications
CiteScoreTracker 2025: 21.2
Journal of Data Science and Intelligent Systems
CiteScoreTracker 2025: 11.1