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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63786, first published .
Doctor discusses CT scan results with patient, showing lungs on screen.

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study

Journals

  1. Yang X, Zhang Y, Jiang J, Chen Z, Bai R, Yuan Z, Dong L, Xiao Y, Liu D, Deng H, Huang J, Shi H, Liu D, Liang M, Tang W, Xu C. Harnessing GPT-4 for automated error detection in pathology reports: Implications for oncology diagnostics. DIGITAL HEALTH 2025;11 View
  2. Yang X, Xiao Y, Liu D, Deng H, Huang J, Zhou Y, Liang M, Dong L, Yuan Z, Yao J, Guo W, Xu C. Factors Influencing Adoption of Large Language Models in Health Care: Multicenter Cross-Sectional Mixed Methods Observational Study. Journal of Medical Internet Research 2025;27:e84918 View
  3. Prucker P, Bressem K, Peeken J, Jukic M, Marka A, Strenzke M, Kim S, Mertens C, Weller D, Lemke T, Graf M, Ziegelmayer S, Kader A, Lammert J, Makowski M, Busch F, Adams L. A Prospective Controlled Trial of Large Language Model–based Simplification of Oncologic CT Reports for Patients with Cancer. Radiology 2025;317(2) View
  4. Rinderknecht E, Engelmann S, Saberi V, Kirschner C, Kravchuk A, Schmelzer A, Breyer J, Goßler C, Mayr R, Gilfrich C, Burger M, von Winning D, Borgmann H, Wülfing C, Merseburger A, Haas M, May M. Using ChatGPT-4 for Lay Summarization in Prostate Cancer Research to Advance Patient-Centered Communication: Large-Scale Generative AI Performance Evaluation. Journal of Medical Internet Research 2025;27:e76598 View
  5. Crocker M, Quinlan E. Professional ethics in practice: systematic review of caregiver and parent-informed principles for psychological assessment reports. Ethics & Behavior 2025:1 View
  6. Han J, Kim M, Kim Y, Lee W. Self-Reflective Chest X-Ray Report Generation with Clinical-Aware Detection and Multilevel Readability. Journal of Medical Systems 2025;49(1) View
  7. Mohamed S. Contextualizing clinical communication models for ethical practice: A comprehensive review with implications for health professions education. Health Sciences Review 2026;19:100267 View
  8. Serna J, Yu Y, Diaz P, Sakiyama K, Ye M, Rustagi A, Sohn J. Self-reported comprehension of large language model-generated summaries of lung cancer screening reports: a vignette survey. Radiology Advances 2026;3(2) View
  9. Russ P, Bedenbender S, Einloft J, Meyer H, Wenzel L, Ganser A, Hirsch M, Grgic I. Potential of large language models for rapid clinical information support: evidence from acute kidney injury knowledge testing. Scientific Reports 2026;16(1) View
  10. Krenn C, Loder C, Berger N, Jeitler K, Semlitsch T, Siebenhofer A, Wilfling D. Automated Approaches of Text Simplification of Patient Education Materials: Scoping Review. Journal of Medical Internet Research 2026;28:e88365 View
  11. Chuan C, Tang J, Yang Z, Chimbaru R. Evaluating AI-Mediated Health Communication via Large Language Model–Based Frequently Asked Questions Rewriting to Foster Clinical Trial Participation: Comparative Survey Study. JMIR AI 2026;5:e87446 View
  12. Chendeb El Rai M, Beya Far A, Darweesh M, Dhou S, Aburaed N, El Rai S, ElKhazendar M, Ellahham S. Artificial Intelligence Across the Radiology Workflow: A Nine-Stage Narrative Review. Diagnostics 2026;16(10):1485 View
  13. Yang X, Xu C. Ethical Governance of Large Language Models in Health Care: Trust, Responsibility, and Equity in Routine Use (Preprint). Journal of Medical Internet Research 2026 View