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.
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| Title: | 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. |
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| Authors: | Salimi M; School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. mohsenwork98@gmail.com., Vadipour P; Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA., Bahadori AR; School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.; Iranian Center of Neurological Research, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran., Houshi S; Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran., Mirshamsi A; School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran., Fatemian H; School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran. |
| Source: | Emergency radiology [Emerg Radiol] 2025 Jun; Vol. 32 (3), pp. 409-433. Date of Electronic Publication: 2025 Mar 26. |
| Publication Type: | Journal Article; Systematic Review; Meta-Analysis |
| Journal Info: | Publisher: Springer-Verlag New York Inc Country of Publication: United States NLM ID: 9431227 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1438-1435 (Electronic) Linking ISSN: 10703004 NLM ISO Abbreviation: Emerg Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1438-1435 |
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| DOI: | 10.1007/s10140-025-02336-3 |
