Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis

Siddharth Agarwal¹, David A Wood¹, Marc Modat¹, Thomas C Booth^{2

3}

Affiliations

¹ School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
² School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK thomas.booth@kcl.ac.uk.
³ Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK.

Comment

Siddharth Agarwal et al. J Neurointerv Surg. 2023 Oct.

. 2023 Oct;15(10):1056-1057.

doi: 10.1136/jnis-2023-020218. Epub 2023 May 31.

Siddharth Agarwal¹, David A Wood¹, Marc Modat¹, Thomas C Booth^{2

3}

¹ School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
² School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK thomas.booth@kcl.ac.uk.
³ Department of Neuroradiology, King's College Hospital NHS Foundation Trust, London, UK.

No abstract available

Keywords: CT; Hemorrhage; Stroke.

Conflict of interest statement

Competing interests: None declared.

Response to 'Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis'.
Abdollahifard S, Farrokhi A, Mowla A. Abdollahifard S, et al. J Neurointerv Surg. 2023 Oct;15(10):1057-1058. doi: 10.1136/jnis-2023-020804. J Neurointerv Surg. 2023. PMID: 37714539 No abstract available.

Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis.
Abdollahifard S, Farrokhi A, Mowla A. Abdollahifard S, et al. J Neurointerv Surg. 2023 Oct;15(10):995-1000. doi: 10.1136/jnis-2022-019627. Epub 2022 Nov 23. J Neurointerv Surg. 2023. PMID: 36418163