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

Saeed Abdollahifard^{1

2}, Amirmohammad Farrokhi^{1

2}, Ashkan Mowla³

Affiliations

¹ School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
² Research Center for Neuromodulation and Pain, Shiraz, Iran.
³ Division of Stroke and Endovascular Neurosurgery, Department of Neurological Surgery, Keck School of Medicine University of Southern California (USC), Los Angeles, California, USA mowla@usc.edu.

Comment

Saeed Abdollahifard et al. J Neurointerv Surg. 2023 Oct.

. 2023 Oct;15(10):1057-1058.

doi: 10.1136/jnis-2023-020804.

Saeed Abdollahifard^{1

2}, Amirmohammad Farrokhi^{1

2}, Ashkan Mowla³

¹ School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
² Research Center for Neuromodulation and Pain, Shiraz, Iran.
³ Division of Stroke and Endovascular Neurosurgery, Department of Neurological Surgery, Keck School of Medicine University of Southern California (USC), Los Angeles, California, USA mowla@usc.edu.

No abstract available

Keywords: Subdural.

Conflict of interest statement

Competing interests: AM: Speakers bureau/consultant to Cerenovus, Stryker, Wallaby Medical, RapidAI, BALT USA, LLC. Others have no disclosure.

Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis.
Agarwal S, Wood DA, Modat M, Booth TC. Agarwal S, et al. J Neurointerv Surg. 2023 Oct;15(10):1056-1057. doi: 10.1136/jnis-2023-020218. Epub 2023 May 31. J Neurointerv Surg. 2023. PMID: 37258226 No abstract available.