Artificial intelligence in neurosciences: A clinician's perspective

Krishnan Ganapathy, Shabbir Abdul, Aldilas Nursetyo

Research output: Contribution to journalReview article

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)934-939
Number of pages6
JournalNeurology India
Volume66
Issue number4
DOIs
Publication statusPublished - Jul 1 2018

Fingerprint

Artificial Intelligence
Neurosciences
Point-of-Care Systems
Delivery of Health Care
Technology

Keywords

  • Artificial Intelligence and neurosciences
  • Artificial Intelligence in neurology
  • Artificial Intelligence in neurosurgery

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

Artificial intelligence in neurosciences : A clinician's perspective. / Ganapathy, Krishnan; Abdul, Shabbir; Nursetyo, Aldilas.

In: Neurology India, Vol. 66, No. 4, 01.07.2018, p. 934-939.

Research output: Contribution to journalReview article

Ganapathy, Krishnan ; Abdul, Shabbir ; Nursetyo, Aldilas. / Artificial intelligence in neurosciences : A clinician's perspective. In: Neurology India. 2018 ; Vol. 66, No. 4. pp. 934-939.
@article{c94d62e213004c98b687eee30c22fd31,
title = "Artificial intelligence in neurosciences: A clinician's perspective",
abstract = "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.",
keywords = "Artificial Intelligence and neurosciences, Artificial Intelligence in neurology, Artificial Intelligence in neurosurgery",
author = "Krishnan Ganapathy and Shabbir Abdul and Aldilas Nursetyo",
year = "2018",
month = "7",
day = "1",
doi = "10.4103/0028-3886.236971",
language = "English",
volume = "66",
pages = "934--939",
journal = "Neurology India",
issn = "0028-3886",
publisher = "Medknow Publications and Media Pvt. Ltd",
number = "4",

}

TY - JOUR

T1 - Artificial intelligence in neurosciences

T2 - A clinician's perspective

AU - Ganapathy, Krishnan

AU - Abdul, Shabbir

AU - Nursetyo, Aldilas

PY - 2018/7/1

Y1 - 2018/7/1

N2 - 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.

AB - 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.

KW - Artificial Intelligence and neurosciences

KW - Artificial Intelligence in neurology

KW - Artificial Intelligence in neurosurgery

UR - http://www.scopus.com/inward/record.url?scp=85050669672&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050669672&partnerID=8YFLogxK

U2 - 10.4103/0028-3886.236971

DO - 10.4103/0028-3886.236971

M3 - Review article

C2 - 30038071

AN - SCOPUS:85050669672

VL - 66

SP - 934

EP - 939

JO - Neurology India

JF - Neurology India

SN - 0028-3886

IS - 4

ER -