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For: Li X, Xu C, Shang C, Wang Y, Xu J, Zhou Q. Machine learning predicts the risk of hemorrhagic transformation of acute cerebral infarction and in-hospital death. Comput Methods Programs Biomed 2023;237:107582. [PMID: 37156021 DOI: 10.1016/j.cmpb.2023.107582] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 04/28/2023] [Accepted: 05/03/2023] [Indexed: 05/10/2023]
Number Cited by Other Article(s)
1
Radley NM, Soh I, Saad AM, Wickramarachchi M, Dawson A, Hin JNC, Ali A, Giri A, Kwan A, Elzankaly O, Desouki MT, Jabal MS, Hamouda AM, Ghozy S, Kallmes DF. Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review. J Stroke Cerebrovasc Dis 2025;34:108291. [PMID: 40089217 DOI: 10.1016/j.jstrokecerebrovasdis.2025.108291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Revised: 03/10/2025] [Accepted: 03/12/2025] [Indexed: 03/17/2025]  Open
2
Wang B, Jiang B, Liu D, Zhu R. Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis. J Med Internet Res 2025;27:e71654. [PMID: 40408765 DOI: 10.2196/71654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2025] [Revised: 03/28/2025] [Accepted: 04/22/2025] [Indexed: 05/25/2025]  Open
3
Lan Z, Zheng J, Zhang X, Zhang J, Chen Z, Chen Y, Yan S, Peng Y, Yu X. Enhancing prediction of parenchymal hemorrhage type 2 after endovascular treatment in acute ischemic stroke using dual-phase CTA. Eur J Radiol 2025;186:112027. [PMID: 40043546 DOI: 10.1016/j.ejrad.2025.112027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Revised: 02/09/2025] [Accepted: 02/27/2025] [Indexed: 04/07/2025]
4
Zhang K, Chen Y, Feng C, Xiang X, Zhang X, Dai Y, Niu W. Machine learning based finite element analysis for personalized prediction of pressure injury risk in patients with spinal cord injury. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2025;261:108648. [PMID: 39922124 DOI: 10.1016/j.cmpb.2025.108648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Revised: 02/03/2025] [Accepted: 02/03/2025] [Indexed: 02/10/2025]
5
Salimi M, Vadipour P, Bahadori AR, Houshi S, Mirshamsi A, Fatemian H. Predicting hemorrhagic transformation in acute ischemic stroke: a systematic review, meta-analysis, and methodological quality assessment of CT/MRI-based deep learning and radiomics models. Emerg Radiol 2025:10.1007/s10140-025-02336-3. [PMID: 40133723 DOI: 10.1007/s10140-025-02336-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2025] [Accepted: 03/19/2025] [Indexed: 03/27/2025]
6
Wang Y, Zhang Z, Zhang Z, Chen X, Liu J, Liu M. Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis. Syst Rev 2025;14:46. [PMID: 39987097 PMCID: PMC11846323 DOI: 10.1186/s13643-025-02771-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2024] [Accepted: 01/16/2025] [Indexed: 02/24/2025]  Open
7
Pan B, Li F, Liu C, Li Z, Sun C, Xia K, Xu H, Kong G, Gu L, Cheng K. Predicting functional outcomes of patients with spontaneous intracerebral hemorrhage based on explainable machine learning models: a multicenter retrospective study. Front Neurol 2025;15:1494934. [PMID: 39866516 PMCID: PMC11757109 DOI: 10.3389/fneur.2024.1494934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 12/23/2024] [Indexed: 01/28/2025]  Open
8
Ren W, Zhang Z, Wang Y, Wang J, Li L, Shi L, Zhai T, Huang J. Coronary health index based on immunoglobulin light chains to assess coronary heart disease risk with machine learning: a diagnostic trial. J Transl Med 2025;23:22. [PMID: 39762962 PMCID: PMC11706159 DOI: 10.1186/s12967-024-06043-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Accepted: 12/25/2024] [Indexed: 01/11/2025]  Open
9
Issaiy M, Zarei D, Kolahi S, Liebeskind DS. Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models. J Neurol 2024;272:37. [PMID: 39666168 PMCID: PMC11638292 DOI: 10.1007/s00415-024-12810-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Accepted: 10/01/2024] [Indexed: 12/13/2024]
10
Zhang Y, Xie G, Zhang L, Li J, Tang W, Wang D, Yang L, Li K. Constructing machine learning models based on non-contrast CT radiomics to predict hemorrhagic transformation after stoke: a two-center study. Front Neurol 2024;15:1413795. [PMID: 39286806 PMCID: PMC11402658 DOI: 10.3389/fneur.2024.1413795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 08/21/2024] [Indexed: 09/19/2024]  Open
11
Huang Q, Wei M, Feng X, Luo Y, Liu Y, Xia J. Hemorrhagic transformation in patients with large-artery atherosclerotic stroke is associated with the gut microbiota and lipopolysaccharide. Neural Regen Res 2024;19:1532-1540. [PMID: 38051896 PMCID: PMC10883505 DOI: 10.4103/1673-5374.385846] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 08/23/2023] [Indexed: 12/07/2023]  Open
12
Lu X, Chen Y, Zhang G, Zeng X, Lai L, Qu C. Application of interpretable machine learning algorithms to predict acute kidney injury in patients with cerebral infarction in ICU. J Stroke Cerebrovasc Dis 2024;33:107729. [PMID: 38657830 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/14/2024] [Accepted: 04/20/2024] [Indexed: 04/26/2024]  Open
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