Use of artificial intelligence and radio genomics in neuroradiology and the future of brain tumour imaging and surgical planning in low- and middleincome countries

Authors

  • Faiza Urooj The Aga Khan Medical College and University, Karachi, Pakistan.
  • Aimen Tameezuddin Ziauddin Medical College, Karachi, Pakistan.
  • Zaira Khalid Karachi Medical and Dental College, Karachi, Pakistan.
  • Kiran Aftab Department of Neurosurgery, The Aga Khan University, Karachi, Pakistan.
  • Mohammad Hamza Bajwa Department of Neurosurgery, The Aga Khan University, Karachi, Pakistan.
  • Kaynat Siddiqui Department of Neurosurgery, The Aga Khan University, Karachi, Pakistan.
  • Saqib Kamran Bakhshi Department of Neurosurgery, The Aga Khan University, Karachi, Pakistan.
  • Hafiza Fatima Aziz Department of Neurosurgery, The Aga Khan University, Karachi, Pakistan.
  • Syed Ather Enam Department of Neurosurgery, The Aga Khan University, Karachi, Pakistan.

DOI:

https://doi.org/10.47391/JPMA.S3.GNO-07

Abstract

Brain tumour diagnosis involves assessing various
radiological and histopathological parameters. Imaging
modalities are an excellent resource for disease
monitoring. However, manual inspection of imaging is
laborious, and performance varies depending on
expertise. Artificial Intelligence (AI) driven solutions a
non-invasive and low-cost technology for diagnostics
compared to surgical biopsy and histopathological
diagnosis. We analysed various machine learning models
reported in the literature and assess its applicability to
improve neuro-oncological management. A scoping
review of 47 full texts published in the last 3 years
pertaining to the use of machine learning for the
management of different types of gliomas where
radiomics and radio genomic models have proven to be
useful. Use of AI in conjunction with other factors can
result in improving overall neurooncological
management within LMICs. AI algorithms can evaluate
medical imaging to aid in the early detection and
diagnosis of brain tumours. This is especially useful where
AI can deliver reliable and efficient screening methods,
allowing for early intervention and treatment.
Keywords: Artificial Intelligence, Radiomics, Machine
Learning, Genomics, Brain Neoplasms, Glioma, Biopsy

Published

2024-06-09

How to Cite

Faiza Urooj, Aimen Tameezuddin, Zaira Khalid, Kiran Aftab, Mohammad Hamza Bajwa, Kaynat Siddiqui, Saqib Kamran Bakhshi, Hafiza Fatima Aziz, & Syed Ather Enam. (2024). Use of artificial intelligence and radio genomics in neuroradiology and the future of brain tumour imaging and surgical planning in low- and middleincome countries. Journal of the Pakistan Medical Association, 74(3 (Supple), S51-S63. https://doi.org/10.47391/JPMA.S3.GNO-07

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