Navigating Challenges and Opportunities With AI Adoption in Neurological Practice: Lidia Maria Veras Rocha Moura, MD, PhD, MPH, FAAN

WATCH TIME: 5 minutes

"What I really wanted to highlight is that we should be thinking about equity, and access. Many solutions might have the ability to increase clinician efficiency, but it might not necessarily increase the experience of the patient, it might not necessarily be accessible to everybody.”

Neurological conditions, a leading cause of disability and mortality, demand innovative, scalable, and sustainable solutions such as artificial intelligence (AI) which is currently changing neurological research and practice.¹ Recent advancements in the field of AI have revealed success in a variety of clinical tasks for the neurological practice.² According to a review published in the Journal of Neurology, AI not only can assist with analyzing medical data in disease prevention, diagnosis, patient monitoring, and development of new protocols, but can also help clinicians in dealing with voluminous data in a more accurate and efficient manner.³

At the 2024 American Academy of Neurology (AAN) Annual Meeting, held April 13-18, in Denver, Colorado, Lidia Maria Veras Rocha Moura, MD, PhD, MPH, FAAN, a neurologist and the director of population health in the department of neurology at Mass General Hospital, presented a talk on AI's influence on the clinical practice in the field of neurology. Moura, who also serves as an associate professor of neurology at Harvard Medical School, gave an additional talk on access disparities in the current neurology practice and the challenges and opportunities in the era of AI for general neurologists.

Following the meeting, Moura sat down with NeurologyLive^® in an interview to discuss how neurology practices can effectively navigate challenges such as security, cost, and infrastructure when adopting AI technologies. She also spoke about strategies that can be implemented to ensure that AI solutions not only enhance clinician efficiency but also prioritize patient experience and accessibility. Additionally, Moura talked about ways that neurologists can be empowered to embrace AI while mitigating risks to practice and promoting equity in healthcare delivery.

Click here for more coverage of AAN 2024.

REFERENCES
1. Voigtlaender S, Pawelczyk J, Geiger M, et al. Artificial intelligence in neurology: opportunities, challenges, and policy implications. J Neurol. 2024;271(5):2258-2273. doi:10.1007/s00415-024-12220-8
2. Jiang L, Wu Z, Xu X, et al. Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies. J Int Med Res. 2021;49(3):3000605211000157. doi:10.1177/03000605211000157
3. Patel UK, Anwar A, Saleem S, et al. Artificial intelligence as an emerging technology in the current care of neurological disorders. J Neurol. 2021;268(5):1623-1642. doi:10.1007/s00415-019-09518-3