Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53164, first published .
Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis

Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis

Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis

Journals

  1. Ren X, Wei Q. Sligpt: A Large Language Model-Based Approach for Data Dependency Analysis on Solidity Smart Contracts. Software 2024;3(3):345 View
  2. Adam G, DeYoung J, Paul A, Saldanha I, Balk E, Trikalinos T, Wallace B. Literature search sandbox: a large language model that generates search queries for systematic reviews. JAMIA Open 2024;7(3) View
  3. Zhang D, Ma Z, Gong R, Lian L, Li Y, He Z, Han Y, Hui J, Huang J, Jiang J, Weng W, Feng J. Using Natural Language Processing (GPT-4) for Computed Tomography Image Analysis of Cerebral Hemorrhages in Radiology: Retrospective Analysis. Journal of Medical Internet Research 2024;26:e58741 View
  4. Mija D, Kehlet H, Rosero E, Joshi G. Evaluating the role of ChatGPT in perioperative pain management versus procedure-specific postoperative pain management (PROSPECT) recommendations. British Journal of Anaesthesia 2024 View
  5. Sanduleanu S, Ersahin K, Bremm J, Talibova N, Damer T, Erdogan M, Kottlors J, Goertz L, Bruns C, Maintz D, Abdullayev N. Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis. AI 2024;5(4):1942 View
  6. Thimm H, Rasmussen K. ChatGPT discovery of green image damaging information for large production companies. Journal of Cleaner Production 2024;478:143978 View