Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20007, first published .
Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine

Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine

Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine

Journals

  1. Kokol P. Meta approaches in knowledge synthesis in nursing: A bibliometric analysis. Nursing Outlook 2021;69(5):815 View
  2. Moezzi M, Shirbandi K, Shahvandi H, Arjmand B, Rahim F. The diagnostic accuracy of Artificial Intelligence-Assisted CT imaging in COVID-19 disease: A systematic review and meta-analysis. Informatics in Medicine Unlocked 2021;24:100591 View
  3. Johnson M, Patel M, Phipps A, van der Schaar M, Boulton D, Gibbs M. The potential and pitfalls of artificial intelligence in clinical pharmacology. CPT: Pharmacometrics & Systems Pharmacology 2023;12(3):279 View
  4. Herzog C. On the risk of confusing interpretability with explicability. AI and Ethics 2022;2(1):219 View
  5. Herzog C. On the Ethical and Epistemological Utility of Explicable AI in Medicine. Philosophy & Technology 2022;35(2) View
  6. Lam Hoai X, Simonart T. Comparing Meta-Analyses with ChatGPT in the Evaluation of the Effectiveness and Tolerance of Systemic Therapies in Moderate-to-Severe Plaque Psoriasis. Journal of Clinical Medicine 2023;12(16):5410 View
  7. Azzam T. Artificial intelligence and validity. New Directions for Evaluation 2023;2023(178-179):85 View
  8. Ma S, Jiang S, Yang O, Zhang X, Fu Y, Zhang Y, Kaareen A, Ling M, Chen J, Shang C. Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation. JMIR Formative Research 2024;8:e49031 View
  9. Berger-Tal O, Wong B, Adams C, Blumstein D, Candolin U, Gibson M, Greggor A, Lagisz M, Macura B, Price C, Putman B, Snijders L, Nakagawa S. Leveraging AI to improve evidence synthesis in conservation. Trends in Ecology & Evolution 2024;39(6):548 View

Books/Policy Documents

  1. Kumar A. Meta-analysis in Clinical Research: Principles and Procedures. View