AI's Role in Transforming Neurological Care: Diagnosis & Treatment Revolutionized

Published Date: 15/09/2024

Artificial intelligence is poised to revolutionize the care of neurological diseases, from detecting tumors to managing conditions and developing new treatments.

Artificial intelligence (AI) is on the verge of transforming the care of neurological diseases, from detecting tumors the human eye can’t see to managing various conditions and developing new treatments. According to neurologists and biomedical researchers, AI is set to revolutionize the diagnosis, prognosis, and treatment of neurological disorders, including Parkinson’s disease, Alzheimer’s disease, epilepsy, and stroke.

Our vision of the future includes everything from brain-machine integration for the treatment of movement disorders to powerful deep learning methods that combine massive data sets to analyze brain imaging along with clinical, genetic, and protein data to obtain a detailed assessment of individual health and risks for complex neurological diseases such as Alzheimer’s.

AI will improve care by assisting – not replacing – clinicians and researchers by providing a new perspective that integrates multiple layers and types of data into personalized clinical or preclinical predictions. Various forms of AI in use or in development for the benefit of neurological conditions include machine learning, deep learning, natural language processing, and robotics.

AI and implantable devices are also being explored to help patients better manage their neurological conditions. Implantable devices will employ AI to help patients better manage their neurological conditions as well as give doctors more immediate feedback so that both patients and providers can adjust their care to optimize quality of life.

The neurology clinic of 2040 likely will look very different than the one today, with AI being most helpful to provide real-time feedback to patients to help prevent seizures, predict and potentially prevent a neurological condition, and help patients manage a condition that doesn’t respond well to treatment.

AI is playing an increasingly valuable role in neurological disease diagnosis, particularly in helping detect blood clots, stroke, and disease pathology, such as Alzheimer’s disease. AI could help identify the right treatments for the right patients more quickly using brain imaging in combination with other test results to improve early detection and diagnosis.

AI could also enhance drug development by identifying new drugs more quickly and accurately. Researchers have developed automated, AI-aided motion sequencing technology for epilepsy, a faster, cheaper, and more accurate method of evaluating anti-seizure medications.

Personalizing healthcare through AI is also becoming a reality. ChatGPT and similar technologies have paved the way for large-scale use of Large Language Modules, and healthcare and research are following this trend. There is great excitement in the biomedical and data science communities about the applications of generative AI.

Early examples of AI being used to personalize healthcare include ambient AI, which involves listening to patient and doctor visits and summarizing what was said, and predictive models for intensive care unit (ICU) outcomes, which predict the probability of a patient developing sepsis or other conditions.

AI has the potential to make care more accessible and available to all patients. For example, a neurologist can implant a device in a patient with Parkinson’s disease and monitor them from hundreds of miles away, adjusting their medications if needed.

The American Neurological Association (ANA) is a premier professional society of academic neurologists and neuroscientists devoted to understanding and treating diseases of the nervous system. Its monthly Annals of Neurology is among the world’s most prestigious medical journals, and the ANA’s Annals of Clinical and Translational Neurology is an online-only, open access journal providing rapid dissemination of high-quality, peer-reviewed research related to all areas of neurology.

The ANA’s Annual Meeting draws faculty and trainees from the top academic departments across the U.S. and abroad for groundbreaking research, networking, and career development. For more information, visit www.myana.org or @TheNewANA1.

About the American Neurological Association (ANA)

From advances in stroke and dementia to movement disorders and epilepsy, the American Neurological Association has been the vanguard of research since 1875 as the premier professional society of academic neurologists and neuroscientists devoted to understanding and treating diseases of the nervous system.

FAQS:

Q  What is the potential of AI in neurological care?

A  AI has the potential to revolutionize the care of neurological diseases, from detecting tumors to managing conditions and developing new treatments.

Q  How can AI improve neurological disease diagnosis?

A  AI can help detect blood clots, stroke, and disease pathology, such as Alzheimer’s disease, and identify the right treatments for the right patients more quickly using brain imaging in combination with other test results.

Q  What is the role of AI in implantable devices?

A  AI can be used in implantable devices to help patients better manage their neurological conditions and provide doctors with more immediate feedback to adjust care and optimize quality of life.

Q  Can AI enhance drug development?

A  Yes, AI can help identify new drugs more quickly and accurately, and researchers have developed automated, AI-aided motion sequencing technology for epilepsy.

Q  How can AI personalize healthcare?

A  AI can be used to personalize healthcare through ambient AI, predictive models for ICU outcomes, and other applications, with significant oversight by humans.

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