Scope
In the rapidly evolving landscape of neuroscience, the integration of Artificial Intelligence (AI) with neuroimaging and neuroinformatics has opened unprecedented opportunities for understanding the human brain. The “AI Meets Mind” AMM’24 special session aims to bring together leading researchers, practitioners, ethicists, and policymakers to explore the latest advancements, challenges, and ethical considerations in applying AI techniques such as Machine Learning (ML), Deep Learning (DL), Reinforcement Learning (RL), and Federated Learning (FL) to neuroimaging and neuroinformatics. A particular focus of the special session is on the crucial aspects of AI governance, data sharing, and privacy in neuroscience. This multidisciplinary Special session will serve as a platform for presenting cutting-edge research, fostering collaborations, and discussing policies and guidelines to navigate the future of neurotechnology responsibly.
Topics
We invite submissions of original research, review articles, and position papers related to the following topics (but not limited to):
- Applications of ML, DL, RL, and FL in neuroimaging analysis.
- Big data challenges and solutions in neuroinformatics.
- Ethical considerations in AI-powered neuroscience research.
- Governance and policy frameworks for AI in neuroimaging.
- Case studies on data sharing and privacy in neuroimaging projects.