TY - JOUR
T1 - Artificial intelligence in neurosciences
T2 - A clinician's perspective
AU - Ganapathy, Krishnan
AU - Abdul, Shabbir
AU - Nursetyo, Aldilas
N1 - Publisher Copyright:
© 2018 Neurology India, Neurological Society of India | Published by Wolters Kluwer - Medknow.
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
SN - 0028-3886
VL - 66
SP - 934
EP - 939
JO - Neurology India
JF - Neurology India
IS - 4
ER -