Evaluation of Approved AI-based Brain Aneurysm Detection Software in Clinical Practice: Comparison with Radiologist Assessment and Image Re-review
The AI software demonstrated moderate sensitivity, especially for smaller aneurysms. Variations in performance across different magnetic field strengths and aneurysm size suggest a need for more robust AI algorithms. Detailed analysis of aneurysm locations provides insights into areas where AI performance could be enhanced. Integrating the AI software as a supportive tool, combined with radiologist expertise, is hypothesized to enhance detection accuracy, though further studies are needed to quantify this combined effect.
Authors
- Toshiki Nakane (ORCID: https://orcid.org/0000-0002-0383-2879)
- Shinji Naganawa
- Rei Nakamichi (ORCID: https://orcid.org/0000-0001-6933-0954)
- Toshiaki Taoka (ORCID: https://orcid.org/0000-0001-9227-0240)
- Rintaro Ito (ORCID: https://orcid.org/0000-0002-7971-043X)
- Ryuji Asai
Institutions
- Nagoya University (JP)
Publication Details
- Journal
- Magnetic Resonance in Medical Sciences
- Published
- 2025-11-04
- DOI
- https://doi.org/10.2463/mrms.mp.2024-0183
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 0.00