Neurotechnology, AI, and Computational Neuroscience: From Theory to Clinical Application

Neurotechnology, AI, and Computational Neuroscience: From Theory to Clinical Application

  • Artificial Intelligence in Neurology and Neuroscience
  • Brain-Computer Interfaces (BCI) and Neural Prosthetics
  • Wearable and Implantable Technology for Brain Monitoring
  • Modeling Neural Networks and Brain Dynamics
  • Artificial Intelligence and Machine Learning in Neuroscience
  • Neuroinformatics and Big Data Approaches in Brain Research
  • Computational Neuroscience and Neural Network Modeling
  • Neuroimaging Innovations and AI Integration
  • AI and Neurotechnology in Disease Prediction
  • Future Directions
     

The integration of Neurotechnology, Artificial Intelligence (AI), and Computational Neuroscience is revolutionizing our understanding of the nervous system and transforming clinical practice. This session will explore cutting-edge advancements in brain-computer interfaces (BCI), neuromodulation, AI-driven diagnostics, machine learning algorithms, and real-time neural data analysis, which are paving the way for personalized medicine and neurorehabilitation. Discussions will highlight how deep learning, big data analytics, and computational modeling of neural networks are improving the diagnosis and treatment of neurological disorders such as Alzheimer’s disease, epilepsy, stroke, Parkinson’s disease, and psychiatric conditions.

 

A key focus will be on translational neuroscience, bridging the gap between theoretical models and real-world clinical applications. Topics will include AI-powered neuroimaging, predictive analytics for disease progression, robotics-assisted neurosurgery, neuroprosthetics, and closed-loop neuromodulation systems designed to enhance motor function, cognition, and sensory processing. Ethical considerations in AI-driven decision-making, patient data privacy, and the future of human-AI integration in neurology will also be discussed. By bringing together neuroscientists, engineers, clinicians, and AI researchers, this session aims to advance collaboration and accelerate the development of next-generation neurotechnologies for clinical use.

Related Sessions:

Committee Members

Professor
Hubei Jiang

University of South Florida, United States

Professor
Xiaojun Yu

Stevens Institute of Technology, United States

Clinical Professor
W S El Masri

Keele University, United Kingdom

Professor
Zhenhuan LIU

Guangzhou University Chinese Medicine, China

Neuro Care 2026 Speakers

Assistant Professor
Daniel Milej

Western University, Canada

Professor
Igor Franovic

University of Belgrade, Serbia

Professor
Weina Liu

East China Normal University, China

Consultant Anesthesiologist
Maria I Dalamagka

General Hospital of Larissa, Greece

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