Special Session on Innovations and Ethics in Neuroimaging and Neuroinformatics: AI Meets Mind (AMM 2024)


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.


  • To showcase innovative applications of AI in neuroimaging and neuroinformatics, highlighting the impact on brain research and clinical practices.
  • To address the ethical, legal, and social implications (ELSI) of utilizing AI in neuroscience, focusing on privacy, data sharing, and consent.
  • To discuss challenges and solutions in managing big data in neuroimaging, including data standardization, sharing, and interoperability.
  • To explore the future of AI governance in neuroscience, promoting responsible research and development practices.

This Special session is designed for a broad audience, including but not limited to:

  • Neuroscientists and neurologists interested in AI applications.
  • AI and ML researchers focusing on neuroimaging and brain data analysis.
  • Data scientists and bioinformaticians engaged in big data challenges in neuroscience.
  • Ethicists, legal experts, and policymakers concerned with AI's implications in research and healthcare.



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.

Organizing Committee

  • Rashid Mehmood, King Abdulaziz University (Saudi Arabia) (Chair)
  • Simon See, Senior Director, Chief Solution Architect and Global Head NVIDIA AI Technology Center, NVIDIA Corporation (USA)
  • Juan M. Corchado Rodríguez, University of Salamanca (Spain)
  • Fernando de la Prieta Pintado, University of Salamanca (Spain)
  • Sara Rodríguez González, University of Salamanca (Spain)

Program Committee

To be announced

Special Issue

Special Issue on the Journal Frontiers in Neuroinformatics: “Protecting Privacy in Neuroimaging Analysis: Balancing Data Sharing and Privacy Preservation” published in FRONTIERS MEDIA SA (EISSN: 1662-5196, JCR (2022): 3.5 (Q2)).