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 variousradiological and histopathological parameters. Imagingmodalities are an excellent resource for diseasemonitoring. However, manual inspection of imaging islaborious, and performance varies depending onexpertise. Artificial Intelligence (AI) driven solutions anon-invasive and low-cost technology for diagnosticscompared to surgical biopsy and histopathologicaldiagnosis. We analysed various machine learning modelsreported in the literature and assess its applicability toimprove neuro-oncological management. A scopingreview of 47 full texts published in the last 3 yearspertaining to the use of machine learning for themanagement of different types of gliomas whereradiomics and radio genomic models have proven to beuseful. Use of AI in conjunction with other factors canresult in improving overall neurooncologicalmanagement within LMICs. AI algorithms can evaluatemedical imaging to aid in the early detection anddiagnosis of brain tumours. This is especially useful whereAI can deliver reliable and efficient screening methods,allowing for early intervention and treatment.Keywords: Artificial Intelligence, Radiomics, MachineLearning, Genomics, Brain Neoplasms, Glioma, Biopsy Downloads Full Text Article 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 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 74 No. 3 (Supple) (2024): AKU Special Supplement: Global Neuro-Oncology Section Scoping Review. License Copyright (c) 2024 Journal of the Pakistan Medical Association This work is licensed under a Creative Commons Attribution 4.0 International License.