Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
469-01-016 ISMRM Abstract

AI in MRI: Tunisian MRI practitioners’ Perspectives on Adoption, Education, and Accountability

Primary: Body - Whole Body Imaging
Secondary: Analysis Methods - Classification and Prediction
469-01-016 · MRI in Africa: Advancing Neuroimaging Research, Capacity, and Equity in African Populations · Tuesday, 12 May, 8:20 AM–9:15 AM · Digital Posters Row J
Keywords: Education MRI Artificial Intelligence Adoption Survey
Accepted
Nader Gharbia 1, Yasmine Saad2, Aymen Kammoun3, Kays Cheker4, Yassine Nouira4
1urology, La rabta hospital, Tunis, Tunisia
2Faculty of Medicine of Monastir, Tunisia
3Faculty of Sciences of Monastir, Tunisia
4Faculty of medicine of Tunis, Tunisia
Presenting Author: Nader Gharbia

Synopsis

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References

1. Abuzaid MM, Tekin HO, Reza M, Elhag IR, Elshami W. Assessment of MRI technologists in acceptance and willingness to integrate artificial intelligence into practice. Radiography (Lond). 2021 Oct;27 Suppl 1:S83-S87. doi: 10.1016/j.radi.2021.07.007. [doi]
2. Coakley S, Young R, Moore N, England A, O'Mahony A, O'Connor OJ, Maher M, McEntee MF. Radiographers' knowledge, attitudes and expectations of artificial intelligence in medical imaging. Radiography (Lond). 2022 Nov;28(4):943-948. doi: 10.1016/j.radi.2022.06.020. [doi]
3. Nair A, Ong W, Lee A, Leow NW, Makmur A, Ting YH, Lee YJ, Ong SJ, Tan JJH, Kumar N, Hallinan JTPD. Enhancing Radiologist Productivity with Artificial Intelligence in Magnetic Resonance Imaging (MRI): A Narrative Review. Diagnostics (Basel). 2025 Apr 30;15(9):1146. doi: 10.3390/diagnostics15091146. [doi]
4. Champendal M, De Labouchère S, Ghotra SS, Gremion I, Sun Z, Torre S, Khine R, Marmy L, Malamateniou C, Dos Reis CS. Perspectives of medical imaging professionals about the impact of AI on Swiss radiographers. J Med Imaging Radiat Sci. 2024 Dec;55(4):101741. doi: 10.1016/j.jmir.2024.101741. [doi]
5. Babushkina, D. Are we justified attributing a mistake in diagnosis to an AI diagnostic system?. AI Ethics 3, 567–584 (2023). https://doi.org/10.1007/s43681-022-00189-x [doi]
6. Dishner KA, McRae-Posani B, Bhowmik A, Jochelson MS, Holodny A, Pinker K, Eskreis-Winkler S, Stember JN. A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research. J Magn Reson Imaging. 2024 Feb;59(2):450-480. doi: 10.1002/jmri.29101. [doi]

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http://echo.ismrm.org/p/ISMRM2026/469-01-016