The use of artificial intelligence in magnetic resonance imaging and is importance for diagnosis: a literature review
The use of artificial intelligence in magnetic resonance imaging and is importance for diagnosis: a literature review
DOI:
https://doi.org/10.51473/rcmos.v1i2.2025.1537Keywords:
Artificial Intelligence; Magnetic Resonance Imaging; Diagnostic Imaging.Abstract
In recent years, artificial intelligence (AI) has increasingly been applied to medical imaging, with particular promise in magnetic resonance imaging (MRI). This integrative literature review synthesizes published evidence on AI-based approaches for detection, segmentation, classification, and interpretation of MRI studies. Searches were conducted across major scientific databases, including PubMed, MedLine, ACM Digital Library, SciELO, and Google Scholar, to identify studies that evaluate technical performance and clinical applicability of AI methods in MRI. The reviewed literature demonstrates substantial technical advances, such as improvements in image reconstruction and acceleration, noise reduction, lesion segmentation, and automated classification. These advances frequently yield high diagnostic performance metrics and reductions in acquisition or reading time. However, most evidence remains retrospective, single-center, and benchmark-driven, limiting direct translation to routine clinical practice. Key challenges include limited external validation, data heterogeneity, model explainability, regulatory and ethical concerns, and infrastructural barriers to deployment. We conclude that AI holds real potential to enhance MRI workflow efficiency and diagnostic accuracy, but its broader clinical adoption requires prospective multicenter validation, standardized reporting, and further attention to bias, explainability, and infrastructural barriers. Future research should prioritize pragmatic trials and implementation studies that measure clinical and economic impact.
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Copyright (c) 2025 Ana Beatriz Barreto Jorge, Hiago Ferrari Santos, Andressa Dalólio Valente , Nathalia Cristine Santos Messias Chiquito (Autor)
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