Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta-analysis.
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| Title: | Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta-analysis. |
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| Authors: | Dagher R; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA., Ozkara BB; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA., Karabacak M; Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA., Dagher SA; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA., Rumbaut EI; School of Medicine, Baylor College of Medicine, Houston, Texas, USA., Luna LP; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland, USA., Yedavalli VS; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, Maryland, USA., Wintermark M; Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA. |
| Source: | Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2024 Sep-Oct; Vol. 34 (5), pp. 505-514. Date of Electronic Publication: 2024 Jul 21. |
| Publication Type: | Journal Article; Systematic Review; Meta-Analysis |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 9102705 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-6569 (Electronic) Linking ISSN: 10512284 NLM ISO Abbreviation: J Neuroimaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1552-6569 |
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| DOI: | 10.1111/jon.13223 |
