Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study

Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study

Abstract Background This systematic review and meta-analysis were conducted to objectively evaluate the evidence of machine learning (ML) in the patient diagnosis of Intracranial Hemorrhage (ICH) on computed tomography (CT) scans. Methods Until May 2023, systematic searches were conducted in ISI Web...

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Bibliographic Details
Main Authors: Masoud Maghami, Shahab Aldin Sattari, Marziyeh Tahmasbi, Pegah Panahi, Javad Mozafari, Kiarash Shirbandi
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BioMedical Engineering OnLine
Subjects:
Brain diseases
Cerebrovascular disorders
Intracranial hemorrhages
Artificial intelligence
Machine learning
Deep learning
Online Access:https://doi.org/10.1186/s12938-023-01172-1

Internet

https://doi.org/10.1186/s12938-023-01172-1

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