NeurologyLive® Year in Review 2025: Top Interviews on the AI Takeover

The NeurologyLive^® staff was hard at work in 2025, covering clinical news and data readouts from across the United States and beyond, spanning multiple neurology subspecialties. Between major study publications and FDA decisions, and traveling to societal conference sessions to conduct expert interviews, the team spent the year bringing the latest updates and insights to the website’s front page.

Artificial intelligence (AI) emerged as a defining theme in neurology in 2025, reflecting its expanding role across research and clinical practice. Advances in machine learning, imaging analysis, and data integration supported new approaches to diagnosis, risk stratification, and disease monitoring across neurologic conditions. Although regulatory decisions and large-scale studies drew attention to AI’s growing clinical relevance, ongoing discussions also emphasized the importance of validation, transparency, and ethical implementation. Collectively, these developments highlighted AI’s evolving role as a clinical support tool with the potential to augment, but not replace, neurologist expertise.

Here, we'll highlight some of the top expert interviews on the adoption of AI on NeurologyLive^® this year.

1. AI and Machine Learning in MS: Promise and Practicality for Clinical Practice

In this video clip, Moein Amin, MD, Marisa McGinley, DO, and Devon Conway, MD, explored how AI and machine learning can be potentially integrated into multiple sclerosis (MS) research and practice. They highlighted current uses in imaging, electronic health records, and clinical transcription, as well as future potential in genetic analysis and personalized medicine. Although the promise of these tools is significant, from improving diagnostic accuracy to easing clinical workflows, the clinicians emphasized the importance of understanding their limitations and ensuring close collaboration with data science experts.

2. Evolving Parkinson Disease Care in the Digital Age of Neurology: Sheryll Baltazar, NP-C

In this video interview, Sheryll Baltazar, NP-C, a nurse practitioner at the Parkinson’s and Movement Disorders Center at Stony Brook Medicine, discussed the potential of AI-driven innovations such as adaptive deep brain stimulation to improve long-term treatment outcomes. She also highlighted key challenges, including the ethical considerations of integrating AI into clinical neurology and the evolving role of wearable technology in addressing gait and motor disturbances in neurodegenerative diseases.

3. Exploring the Integration of AI into the field of Epilepsy: Balu Krishnan, MD

In this video interview, Balu Krishnan, MD, a neuroscientist at the Cleveland Clinic Epilepsy Center, offered a firsthand perspective on how these digital tools are transforming diagnosis, monitoring, and patient management in the field. Krishnan discussed the rapid expansion of AI research in epilepsy, highlighting how its applications have evolved beyond seizure detection to include medication management, neuroimaging, and broader data integration. He also described where AI is already being applied in epilepsy care and what aspects of this growing field he finds most promising.

4. Characterizing Genetic Counselors' Early Experiences of AI in Clinical Practice: Colleen Caleshu, MSc, CGC

In this video interview, Colleen Caleshu, MSc, CGC, senior director of research and real-world data at Genome Medical, described how early adopters are incorporating AI into routine practice, particularly for documentation support. She noted that although AI tools are increasingly accessible and may help reduce burnout and administrative burden, most are not tailored specifically to genetic counseling, necessitating careful evaluation by clinicians. In addition, Caleshu emphasized the importance of assessing validation, understanding tool limitations, and considering potential bias and equity implications.

5. How AI and Gene Therapy Work in Conjunction: Sara Pirzadeh-Miller, MS, CGC

In this video clip, Sara Pirzadeh-Miller, MS, CGC, president of the National Society of Genetic Counselors (NSGC), discussed NSGC as a whole, while focusing on the exciting developments of incorporating AI into genetic counseling. Pirzadeh-Miller spoke about the growing role of AI in genetic counseling and genomics, highlighting how these tools can help identify meaningful patterns and insights to better support clinical decision-making. She noted that while AI offers exciting opportunities to improve efficiency and patient care, it cannot replace the human connection and empathy at the core of genetic counseling.

6. Preparing for the AI-Driven Future of Neurology: Elisabeth Marsh, MD

In this video clip, Elisabeth Marsh, MD, an associate professor of neurology at John Hopkins, shared how AI is reshaping clinical care, research, and medical education. She outlined its potential to improve efficiency in documentation, streamline pre-authorizations, enhance patient engagement, and support literature and manuscript review. Marsh also highlights opportunities for AI-driven educational tools, while emphasizing the ethical considerations and oversight needed to ensure responsible adoption.

7. Exploring Use of AI Tools for Cardiovascular Risk Prediction in Migraine: Chia-Chun Chiang, MD

In this video clip, Chia-Chun Chiang, MD, associate professor of neurology at Mayo Clinic Rochester, highlighted findings on applying AI tools to assess cardiovascular risk in patients with migraine at the 2025 AHS Annual Meeting. She talked about how the study examined a large patient cohort and integrated various clinical and diagnostic factors, including cardiovascular markers and migraine characteristics, to better understand potential risk patterns. Chiang noted that this line of research may help inform future efforts to refine risk prediction models and support earlier intervention strategies in clinical care for migraine.

8. Utilizing Artificial Intelligence and Wearable Devices to Reshape Neurological Care: Cheryl Kyinn, PA-C

In this video clip, Cheryl Kyinn, PA-C, a physician assistant specializing in Parkinson disease, discussed the impact of these emerging digital technologies. In the conversation, she explored how AI-driven wearable technology is improving diagnostic accuracy, the challenges of integrating real-time monitoring into clinical practice, and the future of neuromodulation techniques in personalizing treatment strategies. As neurology continues to embrace these innovations, she explained that understanding their benefits and potential limitations will be key to optimizing patient care and advancing the field.

9. Artificial Intelligence, Myelin Repair, and Aging as Emerging Frontiers in MS Research: Bruce Bebo, PhD

In this video clip, Bruce Bebo, PhD, executive vice president of research at National MS Society, shared insights on how AI-driven imaging could enhance MS diagnosis and treatment monitoring. He highlighted the ongoing challenge of accurately measuring remyelination, emphasizing the need for improved imaging techniques and biomarkers to assess myelin repair in clinical trials. Additionally, Bebo addressed the complexities of determining when to continue or discontinue disease-modifying therapies in aging patients with MS, underscoring the importance of personalized treatment decisions based on emerging research.

10. The Growing Role of AI in Neurology

In this video clip, Fernando L. Pagán, MD, professor and vice chairman for the Department of Neurology at MedStar Georgetown University Hospital, discussed the expanding role of AI in clinical neurology, emphasizing its potential to improve efficiency in documentation, data analysis, and diagnostic support—particularly in areas such as deep brain stimulation, EEG interpretation, and autonomic function assessment. Acknowledging AI’s growing capabilities, he also stressed the importance of clinician oversight to validate AI-generated information, noting that human expertise, critical thinking, and empathy remain essential in patient care.