Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54371, first published .
Evaluation of Generative Language Models in Personalizing Medical Information: Instrument Validation Study

Evaluation of Generative Language Models in Personalizing Medical Information: Instrument Validation Study

Evaluation of Generative Language Models in Personalizing Medical Information: Instrument Validation Study

Journals

  1. Andalib S, Solomon S, Picton B, Spina A, Scolaro J, Nelson A. Source Characteristics Influence AI-Enabled Orthopaedic Text Simplification. JBJS Open Access 2025;10(1) View
  2. Spina A, Fereydouni P, Tang J, Andalib S, Picton B, Fox A. Tailoring glaucoma education using large language models: Addressing health disparities in patient comprehension. Medicine 2025;104(2):e41059 View
  3. Andalib S, Spina A, Picton B, Solomon S, Scolaro J, Nelson A. Using AI to Translate and Simplify Spanish Orthopedic Medical Text: Instrument Validation Study. JMIR AI 2025;4:e70222 View
  4. Sing D, Shah K, Pompliano M, Yi P, Velluto C, Bagheri A, Eastlack R, Stephan S, Mundis Jr G. Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures. JMIR AI 2025;4:e69654 View
  5. Li H, Hu S, Liu Y. Exploring the privacy dilemmas of integrating traditional chinese medicine with artificial intelligence based on case studies.. Intelligent Medicine 2025 View
  6. Ranganatha A, Ramanathan V, Chitte N, Chaudhari M, Panchal P, Danish M. Assessment of the Readability of Google Gemini-Generated Versus UpToDate Clinical Contents for Ventricular Tachycardia Management. Cureus 2025 View
  7. Andalib S, Spina A, Picton B, Thiagarajan A, Solomon S, Scolaro J, Nelson A. Language Complexity Shapes Engagement with Orthopaedic Information on Social Media. JBJS Open Access 2025;10(4) View