Response to ‘Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis’-Reference-Cited by-同舟云学术

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

Published:2023-09-15 Issue:10 Volume:15 Page:1057-1058
ISSN:1759-8478
Container-title:Journal of NeuroInterventional Surgery
language:en
Short-container-title:J NeuroIntervent Surg

Author:

Abdollahifard Saeed,Farrokhi Amirmohammad,Mowla Ashkan

Publisher

BMJ

Subject

Neurology (clinical),General Medicine,Surgery

Reference12 articles.

1. Agarwal S , Wood DA , Modat M , et al . n.d. Application of deep learning models for detection of Subdural Hematoma: a systematic review and meta-analysis. Journal of NeuroInterventional Surgery:jnis–2023. doi:10.1136/jnis-2023-020218

2. Abdollahifard S , Farrokhi A , Mowla A . Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis. J Neurointerv Surg 2022:jnis-2022-019627. doi:10.1136/jnis-2022-019627

3. Thirty-day outcomes after craniotomy for primary malignant brain tumors: a national surgical quality improvement program analysis;Senders;Neurosurgery,2018

4. Dagi TF , Barker Ii FG , Glass J . In reply: machine learning and artificial intelligence in neurosurgery: status, prospects, and challenges. Neurosurgery 2021;89:E335. doi:10.1093/neuros/nyab349

5. Macaskill P , Gatsonis C , Deeks J , et al . Cochrane handbook for systematic reviews of diagnostic test accuracy. 2010.

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