AccScience Publishing / EJMO / Volume 7 / Issue 4 / DOI: 10.14744/ejmo.2023.49294
LETTER TO THE EDITOR

Metamorphosing Neurosurgery: AI-Enabled Clinical Transformations

Sawera Haider1
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1 Department of Surgery, Dr. Ruth K. M. Pfau, Civil Hospital Karachi, Dow University of Health Sciences (DUHS), Sindh, Pakistan
EJMO 2023, 7(4), 411–412; https://doi.org/10.14744/ejmo.2023.49294
Submitted: 14 October 2023 | Accepted: 14 November 2023 | Published: 29 December 2023
© 2023 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Conflict of interest
None declared.
References

1. Vermeulen C, Pagès-Gallego M, Kester L, Kranendonk MEG, Wesseling P, Verburg N, et al. Ultra-fast deep-learned CNS tumour classification during surgery. 2023;622:842–9.
2. Grant R, Dowswell T, Tomlinson E, Brennan PM, Walter FM, Ben-Shlomo Y, et al. Interventions to reduce the time to diagnosis of brain tumours. Cochrane Database Syst Rev 2020;9:CD013564.
3. Maxima Center. AI speeds up identification of brain tumor type. Available at: https://research.prinsesmaximacentrum.nl/en/news-events/news/ai-speeds-up-identification-ofbrain-tumor-type. Accessed Oct 14, 2023.
4. Scoarta S, Westerman B. Using artificial intelligence to improve brain tumor treatment. Available at: https://www.amsterdamumc.org/en/research/institutes/cancer-center-amsterdam/news/-using-artificial-intelligence-to-improve-brain-tumortreatment-.htm. Accessed Oct 14, 2023.

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Eurasian Journal of Medicine and Oncology, Electronic ISSN: 2587-196X Print ISSN: 2587-2400, Published by AccScience Publishing