Artificial intelligence in neurosciences: A clinician's perspective

Krishnan Ganapathy, Shabbir Abdul, Aldilas Nursetyo

研究成果: 雜誌貢獻回顧型文獻同行評審

25 引文 斯高帕斯(Scopus)


Even after making allowance for an unprecedented hype, it is an undeniable fact that, in the coming decade, deployment of Artificial Intelligence (AI) will cause a paradigm shift in the delivery of healthcare. This paper will review the practical utility of AI in neurosciences from a clinician's perspective. Steering clear of the complex, technical, computational jargon, the authors will critically review the exponential development in this area from a clinical standpoint. The reader will be exposed to the fundamentals of AI in healthcare and its applications in different areas of neurosciences. Powerful AI techniques can unlock clinically relevant information, hidden in massive amounts of data. Translating technical computational success to meaningful clinical impact is, however, a challenge. AI requires a thorough and systematic evaluation, prior to integration in the clinical care. Like other disruptive technologies in the past, its potential for causing a great impact should not be underestimated. A scenario in which medical information, gathered at the point of care, is analyzed using sophisticated machine algorithms to provide real-time actionable analytics seems to be within touching distance.

頁(從 - 到)934-939
期刊Neurology India
出版狀態已發佈 - 7月 1 2018

ASJC Scopus subject areas

  • 神經內科
  • 神經病學(臨床)


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