Artificial Intelligence in Clinical Neurology: Talking Machines and Healing Minds*
Date: October 19, 2026
Time: 12:00 pm to 1:00 pm
Room: Coral 3
Track: Interactive Lunch Workshop (ILW)
Session Description
Artificial intelligence (AI) is increasingly integrated into clinical neurology, from diagnostic support tools to neuroimaging interpretation and brain–computer interfaces that restore communication. However, many neurologists lack formal training in how these technologies work, their limitations, and how to evaluate their clinical utility.
This workshop will provide a practical, evidence-based overview of AI across three domains: clinical decision support, neuroimaging, and brain–computer interfaces. Faculty will highlight real-world applications, review current evidence, and discuss the opportunities and limitations of these tools. Attendees will gain a framework for critically assessing AI technologies and their role in clinical practice.
Learning Objectives
At the conclusion of this session, attendees will be able to:
- Describe current applications of AI in clinical neurological diagnosis and the evidence supporting their use.
- Explain how AI and machine learning are applied in neuroimaging and assess their benefits and limitations.
- Discuss the principles of brain–computer interfaces and the role of AI in restoring communication for patients with severe motor impairment.
Speakers
From Black Bags to Black Boxes: AI Assisted Clinical Diagnosis in Neurology
Description
Artificial intelligence (AI) is rapidly transforming the practice of neurology by offering new tools to support clinical reasoning, improve diagnostic accuracy, and enhance decision-making. As AI technologies become increasingly integrated into healthcare, neurologists must understand both their capabilities and their limitations to effectively incorporate them into clinical practice.
This presentation will explore how artificial intelligence can augment clinical diagnosis and reasoning in neurology. Participants will examine current and emerging applications of AI in neurological care, including its role in diagnostic support, pattern recognition, risk stratification, and clinical decision-making. Topics will also include the opportunities and challenges associated with implementing AI in practice, including issues related to interpretability, bias, validation, and responsible use in patient care.
Attendees will leave with a greater understanding of how AI can complement clinical expertise, improve diagnostic workflows, and support evidence-based neurological care while recognizing the considerations necessary for its thoughtful and ethical integration into clinical practice.
From Pixels to Prognosis: How AI is Transforming Neuroimaging Interpretation
Description
Artificial intelligence is revolutionizing neuroimaging by enhancing image interpretation, streamlining clinical workflows, and improving diagnostic accuracy. As both traditional machine learning and generative AI technologies continue to advance, these tools are poised to become integral components of neurological practice, supporting clinicians in making faster and more informed decisions at the point of care.
This presentation will examine the rapidly evolving landscape of artificial intelligence in neuroimaging, highlighting both traditional and generative AI tools that are transforming image interpretation. Participants will explore current and emerging applications of AI for analyzing neuroimaging studies, improving diagnostic efficiency, and supporting clinical decision-making. Topics will also include the pitfalls of these applications, potential areas of bias and disparity, and practical considerations for integrating AI-driven technologies into routine neurological care as they move from research settings to bedside implementation.
Attendees will leave with a greater understanding of how AI is reshaping neuroimaging interpretation and practical insights into the future role of these technologies in improving diagnostic precision, workflow efficiency, and patient outcomes in neurology.
From Action Potentials to AI to Advocacy: Restoring Communication through Brain-Computer Interfaces
Description
Advances in brain-computer interface (BCI) technology and artificial intelligence are redefining what is possible for individuals living with neurological injury or disease. By translating neural activity into meaningful communication and movement, AI-powered implantable BCIs are opening new avenues for restoring function, independence, and quality of life while advancing the field of neurotechnology.
This presentation will explore the use of investigational implantable brain-computer interfaces to restore communication and mobility for individuals with neurological disorders. Participants will learn how AI algorithms are involved in decoding neural signals to enable real-time communication and motor control, review recent advances in implantable BCI technology, and examine the clinical applications of these innovative systems. Topics will also include the challenges and ethical considerations associated with implementing BCI technologies, as well as the importance of advocacy in expanding access to these life-changing interventions.
Attendees will leave with a greater understanding of how the integration of neuroscience, artificial intelligence, and brain-computer interface technology is transforming the care of individuals with neurological injury or disease and advancing the future of restorative neurology.
