This paper is in the following e-collection/theme issue:

Digital Health Reviews (1551) Digital Health Meta-Research and Bibliographic Studies (49) Information Retrieval (325) Information Seeking, Information Needs (530)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39736, first published .
An Automated Literature Review Tool (LiteRev) for Streamlining and Accelerating Research Using Natural Language Processing and Machine Learning: Descriptive Performance Evaluation Study

An Automated Literature Review Tool (LiteRev) for Streamlining and Accelerating Research Using Natural Language Processing and Machine Learning: Descriptive Performance Evaluation Study

An Automated Literature Review Tool (LiteRev) for Streamlining and Accelerating Research Using Natural Language Processing and Machine Learning: Descriptive Performance Evaluation Study

Authors of this article:

Erol Orel1 Author Orcid Image ;   Iza Ciglenecki2 Author Orcid Image ;   Amaury Thiabaud1 Author Orcid Image ;   Alexander Temerev1 Author Orcid Image ;   Alexandra Calmy3 Author Orcid Image ;   Olivia Keiser1 Author Orcid Image ;   Aziza Merzouki1 Author Orcid Image
Article Authors Cited by (7) Tweetations (7) Metrics

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  3. Ofori-Boateng R, Aceves-Martins M, Wiratunga N, Moreno-Garcia C. Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review. Artificial Intelligence Review 2024;57(8) View
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  5. Şahin A, Kara B, Dirsehan T. LitOrganizer: Automating the process of data extraction and organization for scientific literature reviews. SoftwareX 2025;30:102198 View

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