Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review.

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Bibliographic Details
Title: Machine Learning Algorithms to Predict the Risk of Rupture of Intracranial Aneurysms: a Systematic Review.
Authors: Daga K; School of Biomedical Engineering & Imaging Sciences, King's College London, BMEIS, King's College London. 1 Lambeth Palace Road, UK SE1 7EU, London, UK.; Guy's and St. Thomas' NHS Foundation Trust, Westminster Bridge Road, UK SE1 7EH, London, UK., Agarwal S; School of Biomedical Engineering & Imaging Sciences, King's College London, BMEIS, King's College London. 1 Lambeth Palace Road, UK SE1 7EU, London, UK., Moti Z; Guy's and St. Thomas' NHS Foundation Trust, Westminster Bridge Road, UK SE1 7EH, London, UK., Lee MBK; University College London Hospital NHS Foundation Trust, 235 Euston Rd, UK NW1 2BU, London, UK., Din M; Guy's and St. Thomas' NHS Foundation Trust, Westminster Bridge Road, UK SE1 7EH, London, UK., Wood D; School of Biomedical Engineering & Imaging Sciences, King's College London, BMEIS, King's College London. 1 Lambeth Palace Road, UK SE1 7EU, London, UK., Modat M; School of Biomedical Engineering & Imaging Sciences, King's College London, BMEIS, King's College London. 1 Lambeth Palace Road, UK SE1 7EU, London, UK., Booth TC; School of Biomedical Engineering & Imaging Sciences, King's College London, BMEIS, King's College London. 1 Lambeth Palace Road, UK SE1 7EU, London, UK. thomas.booth@kcl.ac.uk.; Department of Neuroradiology, King's College Hospital, Denmark Hill, UK SE5 9RS, London, UK. thomas.booth@kcl.ac.uk.
Source: Clinical neuroradiology [Clin Neuroradiol] 2025 Mar; Vol. 35 (1), pp. 3-16. Date of Electronic Publication: 2024 Nov 15.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: Springer Heidelberg Country of Publication: Germany NLM ID: 101526693 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1869-1447 (Electronic) Linking ISSN: 18691439 NLM ISO Abbreviation: Clin Neuroradiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1869-1447
DOI:10.1007/s00062-024-01474-4