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

Journals

  1. Ali S, Zhang C, Guan Z, Chen T, Wu Q, Li P, Yang P, Ghazanfar Z, Jung Y, Chen Y, Sheng B, Tham Y, Wang X, Wen Y. AI-enhanced digital technologies for myopia management: advancements, challenges, and future prospects. The Visual Computer 2024;40(6):3871 View
  2. Huang E, Yang J, Liao K, Tseng W, Lee C, Gill M, Compas C, See S, Tsai F. Predicting blood–brain barrier permeability of molecules with a large language model and machine learning. Scientific Reports 2024;14(1) View
  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