Application of Artificial Intelligence in NeuroCOVID-19

章节
发表日期：

2024年

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Jeyaram Bharathi Jeyabalan,
Suhrud Pathak,
Graham Lynn,
Keyi Kiu,
Jack Deruiter,
Kamal Dua,
Sachin Singh,
Hanan Fahad Alharbi,
Gowthamarajan,
Muralikrishnan Dhanasekaran

摘要

In the realm of cutting-edge technology, the application of artificial intelligence (AI) emerges as an inspiration of hope and innovation in the field of healthcare. This chapter explores into the applications of AI’s transformative role in the context of NeuroCOVID-19, a critical domain that extends beyond the immediate viral impact globally and pilots the potential of AI in unraveling the intricacies of neurological implications induced by COVID-19. This chapter also unfolds an overview of the neurological manifestations associated with the virus, emphasizing the need for a refined and appropriate diagnostic and therapeutic approaches. Through a comprehensive analysis of recent advancements, this chapter sheds light on the integration of AI tools in decoding complex neurological patterns, aiding in swift and accurate diagnosis. Moreover, the exploration extends to the therapeutic landscape, where AI demonstrates its prowess in personalized treatment plans, optimizing patient outcomes. This data-driven approach not only enhances our understanding of NeuroCOVID-19 but also opens avenues for targeted interventions and preventive measures.