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Related Experiment Videos

Artificial intelligence in neurosciences: A clinician's perspective.

Krishnan Ganapathy1, Shabbir Syed Abdul2, Aldilas Achmad Nursetyo3

  • 1Apollo Telemedicine Networking Foundation, Apollo Main Hospital, Chennai, Tamil Nadu, India.

Neurology India
|July 25, 2018
PubMed
Summary

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The Learning Curve.

Neurology India·2023

Artificial Intelligence (AI) is set to revolutionize healthcare delivery, particularly in neurosciences. This review explores AI

Area of Science:

  • Neuroscience
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Artificial Intelligence (AI) is poised to transform healthcare delivery.
  • The rapid advancement of AI necessitates a clinical perspective on its utility.

Purpose of the Study:

  • To critically review the practical applications of AI in neurosciences from a clinician's viewpoint.
  • To demystify AI fundamentals and its clinical relevance in neuroscience.

Main Methods:

  • Review of exponential developments in AI for neurosciences.
  • Focus on clinical standpoint, avoiding technical jargon.

Main Results:

  • AI can extract valuable clinical insights from large datasets.
Keywords:
Artificial Intelligence and neurosciencesArtificial Intelligence in neurologyArtificial Intelligence in neurosurgery

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  • Translating AI's computational success into clinical impact remains a challenge.

    • Conclusions:

    • AI requires rigorous evaluation before clinical integration.
    • AI holds significant potential to impact healthcare, offering real-time analytics at the point of care.