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March 27, 2026Open Access

Machine-learning assisted screening for evidence synthesis: methodological case study of the ASReview tool

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Authors

KBKim BoesenPDPascal DueblinLHLars G. Hemkens

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Overview

Case study assesses ASReview's efficiency in literature screening for cancer immunotherapy, suggesting benefits and challenges.

Key Points

  • The aim is to evaluate the effectiveness and challenges of the ASReview tool for systematic literature screening.
  • Analyzed the ASReview software's usability and efficiency in ranking literature records.
  • Assessed advantages and limitations in the context of cancer immunotherapy trials.
  • Compared ASReview's performance to traditional methods involving human reviewers.
  • ASReview efficiently identified relevant literature, reducing workload compared to traditional methods.
  • It may lead to significant resource savings in systematic reviews.
  • Highlighted limitations include difficulties in adding new references and potential issues with the learning algorithm.

Cite This Study

Boesen et al. (2025) studied this question.

synapsesocial.com/papers/69c61fd715a0a509bde184a7https://doi.org/10.48620/96378
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