The AI in Child Neurology group is a collaborative hub within CNKE.org dedicated to exploring and advancing the integration of artificial intelligence (AI) in the field of pediatric neurology. This group brings together clinicians, researchers, data scientists, and innovators with a shared mission: to harness the transformative potential of AI for improving the diagnosis, management, and outcomes of neurological conditions in children.

Our discussions and projects span a wide range of topics, including:

• AI-assisted neuroimaging and diagnostics

• Machine learning in epilepsy and seizure prediction

• AI-supported developmental and behavioural assessments

• Natural language processing for clinical documentation and research

• Ethical and regulatory considerations in AI for child health

• Predictive analytics for neurodevelopmental trajectories

We believe that AI, when guided by clinical insight and child-centred values, can become a powerful adjunct in child neurology—enhancing precision medicine, supporting overburdened systems, and driving global equity in access to care.

This group also serves as a platform to:

• Share use cases, tools, and research

• Discuss challenges and opportunities in implementation

• Promote interdisciplinary learning and partnerships

• Support early-career professionals and trainees interested in AI

Whether you are an experienced practitioner or just beginning to explore AI in your practice or research, we invite you to engage, collaborate, and shape the future of pediatric neurosciences.