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