Application of Artificial Intelligence in MRI Image Analysis for Radiological Diagnosis: A Systematic Review

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Application of Artificial Intelligence in MRI Image Analysis for Radiological Diagnosis: A Systematic Review

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This systematic review critically evaluates recent advances in AI applied to MRI image
analysis for radiological diagnosis, emphasizing improvements in diagnostic accuracy
and clinical utility. A systematic literature review (SLR) was conducted using PRISMA
guidelines, employing a PICOC framework. A comprehensive search of the Scopus
database was performed, and studies were selected based on strict inclusion/exclusion
criteria through screening and synthesis. The review found that AI techniques
significantly enhance MRI diagnostic performance (e.g., better tumor detection) and
streamline workflows by automating routine tasks. It also notes growing publication
trends from 2020–2024 in this field, reflecting increasing global research interest. The
review is limited by its reliance on a single database (Scopus) and a narrow publication
window (2020–2024). Many included studies exhibit data biases and lack comprehensive
external validation, which may affect generalizability. These results suggest that AI
integration can improve clinical workflows. The authors emphasize the need for
standardized protocols and multidisciplinary collaboration to ensure safe and effective
implementation of AI in radiological practice. This study provides an original
contribution by systematically synthesizing the latest literature on AI applications in MRI
diagnostics, offering a comprehensive overview of current methods and trends. It fills a
gap by critically evaluating recent studies and outlining future research directions.


Detail Information

Item Type
Other
Penulis
Muhammad Hudzaifah Nasrullah - Personal Name
Syahroni Lubis - Personal Name
Evie Kusmiati - Personal Name
Edwin Suharlim - Personal Name
Intan Masita Hayati - Personal Name
Student ID
Dosen Pembimbing
Penguji
Kode Prodi PDDIKTI
11402
Edisi
Published
Departement
Radiodiagnostik & Radioterapi
Kontributor
Bahasa
English
Penerbit : .,
Edisi
Published
Subyek
No Panggil
Copyright
Lembaga Penerbit
Doi

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