Assessing the Accuracy of Artificial Intelligence in Detecting Intracranial Aneurysms in a Clinical Setting Relative to Neuroradiologists
Our multisite study showed that neuroradiologists performed better than AI for IA detection in terms of sensitivity and accuracy, while while achieving comparable specificity.
Authors
- Babatunde Akinpelu (ORCID: https://orcid.org/0000-0002-7408-9963)
- Nandakumar G. Patnam (ORCID: https://orcid.org/0000-0001-9606-7223)
- Pattana Wangaryattawanich (ORCID: https://orcid.org/0000-0002-7067-8592)
- Negar Firoozeh (ORCID: https://orcid.org/0000-0002-5423-4406)
- Michael R. Levitt (ORCID: https://orcid.org/0000-0003-3612-3347)
- Hassan Monirifar (ORCID: https://orcid.org/0000-0001-7896-8343)
- Mahmud Mossa‐Basha (ORCID: https://orcid.org/0000-0001-7798-8158)
- Eardi Lila (ORCID: https://orcid.org/0000-0002-9199-392X)
- Chengcheng Zhu (ORCID: https://orcid.org/0000-0001-6898-549X)
Institutions
- University of Alabama at Birmingham Hospital (US)
- University of Washington (US)
- University of Alabama at Birmingham (US)
- Cancer Research And Biostatistics (US)
- Maine Farmland Trust (US)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-11-26
- DOI
- https://doi.org/10.3174/ajnr.a8897
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 0.00