The Intersection of Artificial Intelligence, Telemedicine, and Neurophysiology

Abstract

The technical-scientific area of neurophysiology has seen significant advancements in recent years, with the introduction of new technologies aimed at improving the diagnosis, treatment, and management of neurological conditions. However, these advancements resulted in significant repercussions in terms of specificity and sensitivity, diagnostic accuracy, and prognosis in more specific situations, particularly in the integration of artificial intelligence (AI) and telemedicine. In this chapter, the authors aim to explore the current state of neurophysiology and examine the role of AI and telemedicine in addressing the challenges faced by this field. The authors will delve into the potential benefits and limitations of these technologies and their impact on patient outcomes, healthcare delivery, and the future of neurophysiology. The chapter's goal is to provide a comprehensive overview of the challenges and potentialities of AI and telemedicine in neurophysiology, highlighting their significance in advancing the field and improving patient care.

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“…These recent advancements have introduced a variety of novel health information technologies (HITs) that empower healthcare professionals to augment patient care and streamline operational processes. The literature acknowledges the profound influence of HIT, including telemedicine services [20], blockchain technology applications [21], deep-learning-based medical image analysis [22], three-dimensional bioprinting [23], digital game-based rehabilitation [24], and conversational chatbots [25]. Through the integration of HIT into day-to-day operations, healthcare professionals can leverage digital tools and platforms to enhance clinical decision making, streamline administrative tasks, and optimize resource allocation.…”