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

Corrigenda and Addenda (129)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80519, first published .
Correction: Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Evaluation Study

Correction: Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Evaluation Study

Correction: Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Evaluation Study

Authors of this article:

JMIR Editorial Office1
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Chen P, Gu H, Lo H, Chang W, Lai C, Lai S, Cheng A, Ng P. Leveraging Large Language Models for Early Detection of Anomaly Work Injury Cases: A Data-Driven Approach to Rehabilitation Efficiency (Preprint). JMIR Rehabilitation and Assistive Technologies 2025 View