Implications of Large Language Models for Quality and Efficiency of Neurologic Care

Moura, Lidia; Jones, David T.; Sheikh, Irfan S.; Murphy, Shawn; Kalfin, Michael; Kummer, Benjamin R.; Weathers, Allison L.; Grinspan, Zachary M.; Silsbee, Heather M.; Jones, Lyell K.; Patel, Anup D.

doi:10.1212/wnl.0000000000209497

Cited by 1 publication

(1 citation statement)

References 29 publications

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“…One of the first mechanisms of AI-related change in neurology will be enhanced complex data processing. Contemporary AI models, and more specifically the large-language models that have recently appeared for commercial use, clearly exemplify this trend by demonstrating a growing capacity to summarize, analyze, and extract meaning from increasingly complex health care datasets 33 . With AI, neurologists should be able to provide more accurate and timely clinical assessments, hasten access to neurologic care, and allow for more nuanced insights into complex neurologic conditions, such as identifying acute stroke sooner than traditional recognition methods and pinpointing the onset of off states in patients with Parkinson disease.…”

Section: Informatics and Artificial Intelligencementioning

confidence: 98%

Teleneurology and Artificial Intelligence in Clinical Practice

Jones,

Kummer,

Wilkinson

2024

CONTINUUM: Lifelong Learning in Neurology

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As teleheath becomes integrated into the practice of medicine, it is important to understand the benefits, limitations, and variety of applications. Telestroke was an early example of teleneurology that arose from a need for urgent access to neurologists for time-sensitive treatments for stroke. It made a scarce resource widely available via video conferencing technologies. Additionally, applications such as outpatient video visits, electronic consultation (e-consult), and wearable devices developed in neurology, as well. Telehealth dramatically increased during the COVID-19 pandemic when offices were closed and hospitals were overwhelmed; a multitude of both outpatient and inpatient programs developed and matured during this time. It is helpful to explore what has been learned regarding the quality of telehealth, disparities in care, and how artificial intelligence can interact with medical practices in the teleneurology context.

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Section: Informatics and Artificial Intelligencementioning

confidence: 98%