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<p>Integration of artificial intelligence (AI) in the field of neurology is currently undergoing a&#xa0;transformative phase, contributing significantly to the enhancement of diagnostic accuracy, optimization of treatment paradigms, and the refinement of long-term patient monitoring methodologies. This article provides a&#xa0;comprehensive review of contemporary applications of AI within the neurological sciences, with a&#xa0;particular emphasis on its instrumental role in the diagnosis and management of intricate disorders, such as multiple sclerosis (MS) and cerebrovascular events. Additionally, the paper delves into the utilization of AI within advanced neurodiagnostic instruments, namely nerve conduction studies, electromyography (EMG), and electroencephalography (EEG). Furthermore, the discussion encompasses the burgeoning field of AI-powered wearable technology and its application in the monitoring of conditions like Parkinson’s disease. Exploitation of AI technologies by neurologists has the potential to facilitate more precise diagnoses and tailored therapeutic approaches, thereby positively influencing the trajectory of patient care and overall clinical outcomes.</p>

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Künstliche Intelligenz in der Neurologie

  • 期刊论文

  • 发表日期：

    2025年2月10日

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  • Muhammad Yacob

摘要

Integration of artificial intelligence (AI) in the field of neurology is currently undergoing a transformative phase, contributing significantly to the enhancement of diagnostic accuracy, optimization of treatment paradigms, and the refinement of long-term patient monitoring methodologies. This article provides a comprehensive review of contemporary applications of AI within the neurological sciences, with a particular emphasis on its instrumental role in the diagnosis and management of intricate disorders, such as multiple sclerosis (MS) and cerebrovascular events. Additionally, the paper delves into the utilization of AI within advanced neurodiagnostic instruments, namely nerve conduction studies, electromyography (EMG), and electroencephalography (EEG). Furthermore, the discussion encompasses the burgeoning field of AI-powered wearable technology and its application in the monitoring of conditions like Parkinson’s disease. Exploitation of AI technologies by neurologists has the potential to facilitate more precise diagnoses and tailored therapeutic approaches, thereby positively influencing the trajectory of patient care and overall clinical outcomes.