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CC BY-NC-ND 4.0 · Asian J Neurosurg 2021; 16(01): 8-13
DOI: 10.4103/ajns.AJNS_265_20
Narrative Review Article

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

Mustafa Hussain
1   Department of Neurosurgery, Aga Khan University Hospital, Karachi
,
Ainsia Shabbir
2   Department of Computer and Information Systems Engineering, NED University of Engineering and Technology, Karachi
,
Saqib Bakhshi
1   Department of Neurosurgery, Aga Khan University Hospital, Karachi
,
Muhammad Shamim
1   Department of Neurosurgery, Aga Khan University Hospital, Karachi
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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.

Key-words:

Artificial intelligence - machine learning - neuro-oncology

Financial support and sponsorship

Nil.




Publication History

Received: 29 May 2020

Accepted: 17 September 2020

Article published online:
16 August 2022

© 2021. Asian Congress of Neurological Surgeons. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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