Asian Journal of Neurosurgery

NARRATIVE REVIEW ARTICLE
Year
: 2021  |  Volume : 16  |  Issue : 1  |  Page : 8--13

Are thinking machines breaking new frontiers in neuro-oncology? A narrative review on the emerging role of machine learning in neuro-oncological practice


Mustafa Mushtaq Hussain1, Ainsia Shabbir2, Saqib Kamran Bakhshi1, Muhammad Shahzad Shamim1 
1 Department of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan
2 Department of Computer and Information Systems Engineering, NED University of Engineering and Technology, Karachi, Pakistan

Correspondence Address:
Dr. Muhammad Shahzad Shamim
Aga Khan University Hospital, Stadium Road, P.O. Box 3500, Karachi 74800
Pakistan

Medical science in general and oncology in particular are dynamic, rapidly evolving subjects. Brain and spine tumors, whether primary or secondary, constitute a significant number of cases in any oncological practice. With the rapid influx of data in all aspects of neuro-oncological care, it is almost impossible for practicing clinicians to remain abreast with the current trends, or to synthesize the available data for it to be maximally beneficial for their patients. Machine-learning (ML) tools are fast gaining acceptance as an alternative to conventional reliance on online data. ML uses artificial intelligence to provide a computer algorithm-based information to clinicians. Different ML models have been proposed in the literature with a variable degree of precision and database requirements. ML can potentially solve the aforementioned problems for practicing clinicians by not just extracting and analyzing useful data, by minimizing or eliminating certain potential areas of human error, by creating patient-specific treatment plans, and also by predicting outcomes with reasonable accuracy. Current information on ML in neuro-oncology is scattered, and this literature review is an attempt to consolidate it and provide recent updates.


How to cite this article:
Hussain MM, Shabbir A, Bakhshi SK, Shamim MS. Are thinking machines breaking new frontiers in neuro-oncology? A narrative review on the emerging role of machine learning in neuro-oncological practice.Asian J Neurosurg 2021;16:8-13


How to cite this URL:
Hussain MM, Shabbir A, Bakhshi SK, Shamim MS. Are thinking machines breaking new frontiers in neuro-oncology? A narrative review on the emerging role of machine learning in neuro-oncological practice. Asian J Neurosurg [serial online] 2021 [cited 2021 Apr 20 ];16:8-13
Available from: https://www.asianjns.org/article.asp?issn=1793-5482;year=2021;volume=16;issue=1;spage=8;epage=13;aulast=Hussain;type=0