External Validation of BrainScan AI for Detection of Hemorrhagic Stroke on Non-Contrast Head CT
References
- Dagli C, Huang Z, Lin C. Intracerebral hemorrhage hospitalizations and outcomes: comparisons between institutional and national data. Intern Emerg Med. 2025;20(5):1455-1462. doi:10.1007/s11739-025-03977-5.
- Takala J, Peura H, Pirinen R, et al. High sensitivity in spontaneous intracranial hemorrhage detection from emergency head CT scans using ensemble-learning approach. Sci Rep. 2025;15(1):29919. doi:10.1038/s41598-025-15835-7.
- Neves G, Warman PI, Warman A, et al. External Validation of an Artificial Intelligence Device for Intracranial Hemorrhage Detection. World Neurosurg. 2023;173:e800-e807. doi:10.1016/j.wneu.2023.03.019.
- Voter AF, Meram E, Garrett JW, Yu JPJ. Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Intracranial Hemorrhage. J Am Coll Radiol. 2021;18(8):1143-1152. doi:10.1016/j. jacr.2021.03.005.
- Wang D, Jin R, Shieh CC, et al. Real world validation of an AI-based CT hemorrhage detection tool. Front Neurol. 2023;14:1177723. doi:10.3389/fneur.2023.1177723.
- Mabit L, Lepoittevin M, Valls M, et al. Real-Life Performance of a Commercially Available AI Tool for Post-Traumatic Intracranial Hemorrhage Detection on CT Scans: A Supportive Tool. J Clin Med. 2025;14(13):4403. doi:10.3390/jcm14134403.
- Mair G, White P, Bath PM, et al. Accuracy of artificial intelligence software for CT angiography in stroke. Ann Clin Transl Neurol. 2023. doi:10.1002/acn3.51790.
- Fang Z, Johnston A, Cheuy LY, et al. Automated real-time assessment of intracranial hemorrhage detection AI using an ensembled monitoring model (EMM). npj Digit Med. 2025;8(1):608. doi:10.1038/s41746-025-02007-0.
- Savage CH, Tanwar M, Elkassem AA, et al. Prospective Evaluation of Artificial Intelligence Triage of Intracranial Hemorrhage on Noncontrast Head CT Examinations. AJR Am J Roentgenol. 2024;223(5):e2431639. doi:10.2214/AJR.24.31639.
- Schmitt N, Mokli Y, Weyland CS, et al. Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients. Eur Radiol. 2022;32:2246-2254. doi:10.1007/s00330-021-08352-4.
- Kok YE, Pszczolkowski S, Law ZK, et al. Semantic Segmentation of Spontaneous Intracerebral Hemorrhage, Intraventricular Hemorrhage, and Associated Edema on CT Images Using Deep Learning. Radiol Artif Intell. 2022;4(6):e220096. doi:10.1148/ryai.220096.
- Mair G, White P, Bath PM, et al. External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke. Ann Neurol. 2022;92(6):943-957. doi:10.1002/ana.26495.
- Chen W, Wu J, Wei R, et al. Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study. Insights Imaging. 2022;13(1):184. doi:10.1186/s13244-022-01331-3.
- Lu J, Zhou Y, Lv W, et al. Identification of early invisible acute ischemic stroke in non-contrast computed tomography using two-stage deep-learning model. Theranostics. 2022;12(12):5564-5573. doi:10.7150/thno.74125.
- Sahoo PK, Mohapatra S, Wu CY, et al. Automatic identification of early ischemic lesions on non-contrast CT with deep learning approach. Sci Rep. 2022;12(1):18054. doi:10.1038/s41598-022-22939-x.
- Gauriau R, Bizzo BC, Comeau DS, et al. Head CT deep learning model is highly accurate for early infarct estimation. Sci Rep. 2023;13(1):189. doi:10.1038/s41598-023-27496-5.
- Mallon D, Fallon M, Blana E, et al. Real-world evaluation of Brainomix e-Stroke software. Stroke Vasc Neurol. 2024;9(5):497-504. doi:10.1136/svn-2023-002859.
- Collins GS, Moons KGM, Dhiman P, et al. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024;385:e078378. doi:10.1136/bmj-2023-078378.
- Moons KGM, Skoetz N, Riley RD, et al. PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods. BMJ. 2025;388:e082505. doi:10.1136/bmj-2024-082505.
DOI: https://doi.org/10.2478/ebtj-2026-0019 | Journal eISSN: 2564-615X
Language: English
Page range: 258 - 269
Published on: Jul 23, 2026
Published by: European Biotechnology Thematic Network Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2026 Ivan Sitnikov, Eray Halil, Neli Atanasova, Petra Popova, Kostadin Kostadinov, Fares Ezeldin, Edisson Judge, Penka Atanassova, published by European Biotechnology Thematic Network Association
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.