Leveraging Artificial Intelligence to Redefine Clinical Efficacy and Empower Neurologists: Lidia Maria Veras Rocha Moura, MD, PhD, MPH, FAAN

WATCH TIME: 4 minutes

"It's becoming very anxiety-provoking to believe or to even think that we are going to add more tools to our practice without the fear of increasing the burden or inequities in care."

In the past decades, the field of neurology has faced many challenges in clinical practice, but artificial Intelligence (AI) may show promise to improve care for patients. Research shows that AI can help diagnose stroke, interpret electroencephalogram (EEG) scans, detect seizures, predict mild cognitive impairment to Alzheimer, and classify neurodegenerative diseases.^1,2,3 The clinical practice may change more to accommodate for AI in the future based on its potential as a complementary tool and therefore, clinicians should be prepared to use AI to their advantage.

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 the influence of AI on clinical practice during seminar at the 2024 American Academy of Neurology (AAN) Annual Meeting, held April 13-18, in Denver, Colorado. At the meeting, in addition to her talk, Moura also presented on access disparities in the current neurology practice and the challenges and opportunities in the era of AI for neurologists.

Moura, who also serves as an associate professor of neurology at Harvard Medical School, sat down with NeurologyLive^® after the meeting to further discuss the potential of AI to enhance clinical documentation efficiency for neurologists without increasing burden. She also talked about AI-based strategies that neurologists can employ to maintain quality care amidst the growing demand among patients. In addition, Moura spoke about the ways that AI can serve as a copilot rather than a replacement in medical practice.

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REFERENCES
1. American Medical Association. The Future of Health: The Emerging Landscape of Augmented Intelligence in Health Care. Published February 26, 2024. Accessed April 30, 2024. https://www.ama-assn.org/system/files/future-health-augmented-intelligence-health-care.pdf
2. Ge W, Rice HJ, Sheikh IS, et al. Improving Neurology Clinical Care With Natural Language Processing Tools. Neurology. 2023;101(22):1010-1018. Published 2023 Nov 27. doi:10.1212/WNL.0000000000207853
3. Jordan RF, Sandrone S, Southerland AM. Opportunities and Challenges for Incorporating Artificial Intelligence and Natural Language Processing in Neurology Education. Neurol Educ. 2024;3(1): 200116. Published 2024 Feb 27. doi:10.1212/NE9.0000000000200116