AI Ethics In Neurology: A Systematic Review on Ethical Concerns in Healthcare

Abstract

One of the most exciting technological developments in the coming years is Artificial Intelligence (AI), and the healthcare industry stands to gain the most from its integration. Today in the whole World the use of AI in healthcare is expanding. The phrase “Artificial intelligence” (AI) refers to the use of technology and computers to mimic human-like critical thinking and intelligent behavior. A few of the new applications of AI/ML are disease identification, screening, diagnosis, medical imaging, intelligent health operations management, personalized medicine, digital public health surveillance, outbreak prediction, and drug discovery. Applications AI in Neurology are starting to move from a bright future to a clinical reality. AI has the potential to revolutionize Neurologic clinical practice, impacting care delivery, affordability, and quality. The potential of AI in neurology is exemplified by epilepsy, where a wide range of new applications, including prognostic, therapeutic, and diagnostic ones, are being developed at a rapid pace. Further, as AI technologies get further developed and applied in clinical decision making, it is important to have processes that discuss accountability in case of errors for safeguarding and protection. The main objective of such AI-assisted System is to provide the benefit to the greatest number of average people in a safe and highly precise manner. Therefore, it is crucial to understand the ethical ramifications of research design and algorithm decisions that can inadvertently contain AI in order to guarantee that the integration of AI into neurology care does not cause harm to patients.

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