Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55939, first published .
Evaluating the Efficacy of ChatGPT as a Patient Education Tool in Prostate Cancer: Multimetric Assessment

Evaluating the Efficacy of ChatGPT as a Patient Education Tool in Prostate Cancer: Multimetric Assessment

Evaluating the Efficacy of ChatGPT as a Patient Education Tool in Prostate Cancer: Multimetric Assessment

Journals

  1. Sarikonda A, Abishek R, Isch E, Momin A, Self M, Sambangi A, Carreras A, Jallo J, Harrop J, Sivaganesan A. Assessing the Clinical Appropriateness and Practical Utility of ChatGPT as an Educational Resource for Patients Considering Minimally Invasive Spine Surgery. Cureus 2024 View
  2. Marcaccini G, Seth I, Cuomo R. Letter on: “Artificial Intelligence: Enhancing Scientific Presentations in Aesthetic Surgery”. Aesthetic Plastic Surgery 2024 View
  3. Siu A, Gibson D, Chiu C, Kwok A, Irwin M, Christie A, Koh C, Keshava A, Reece M, Suen M, Rickard M. ChatGPT as a patient education tool in colorectal cancer—An in‐depth assessment of efficacy, quality and readability. Colorectal Disease 2025;27(1) View
  4. Doğan İ, Günel P, Berk İ, İpek Berk B. Evaluation of the Readability, Understandability, and Accuracy of Artificial Intelligence Chatbots in Terms of Biostatistics Literacy. European Journal of Therapeutics 2024;30(6):900 View
  5. Zitu M, Le T, Duong T, Haddadan S, Garcia M, Amorrortu R, Zhao Y, Rollison D, Thieu T. Large language models in cancer: potentials, risks, and safeguards. BJR|Artificial Intelligence 2025;2(1) View
  6. Paluszek O, Loeb S. Artificial intelligence and patient education. Current Opinion in Urology 2025;35(3):219 View
  7. Lang P, Vassar M. Addressing diversity barriers in prostate cancer clinical trials for equitable healthcare outcomes. Nature Reviews Urology 2025 View
  8. Tariq D, Madhusudan R, Guntupalli Y, Karumanchi Anantha Venkata Sai S, Vejandla B, LNU M. A Cross-Sectional Study Comparing Patient Information Guides for Amyotrophic Lateral Sclerosis, Myasthenia Gravis, and Guillain-Barré Syndrome Produced by ChatGPT-4 and Google Gemini 1.5. Cureus 2025 View
  9. Chen X, Xiang J, Lu S, Liu Y, He M, Shi D. Evaluating large language models and agents in healthcare: key challenges in clinical applications. Intelligent Medicine 2025;5(2):151 View
  10. Ito S, Furukawa E, Okuhara T, Okada H, Kiuchi T. Leveraging artificial intelligence chatbots for anemia prevention: A comparative study of ChatGPT-3.5, copilot, and Gemini outputs against Google Search results. PEC Innovation 2025;6:100390 View
  11. Megafu M, Guerrero O, Hasan R, Hunt L, Langhelm D, Le B, Li X, Kelly R, Parisien R, Cusano A. Evaluating the perspectives of ChatGPT and Gemini on glenohumeral osteoarthritis management. JSES International 2025 View
  12. Sivanesan N, Diaz G, Kandala K, Tan W, Sprenkle P. Why prompting matters: achieving clinically accurate and consistent responses with Chat GPT. BJU International 2025 View
  13. van Eerde A, Teixeira A, Galletti F, Maternik M, Capone V, Westland R, Mulder J, Halbritter J, Osterholt T, Neukel V, Weber L, Liebau M, Schaefer F, Kohl S. Risks and benefits of ChatGPT in informing patients and families with rare kidney diseases: an explorative assessment by the European Rare Kidney Disease Reference Network (ERKNet). Pediatric Nephrology 2025 View
  14. Owens O, Leonard M. Evaluating an AI Chatbot “Prostate Cancer Info” for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study. JMIR Cancer 2025;11:e72522 View
  15. Marcaccini G, Seth I, Lim B, Sacks B, Novo J, Ting J, Cuomo R, Rozen W. Management of Burns: Multi-Center Assessment Comparing AI Models and Experienced Plastic Surgeons. Journal of Clinical Medicine 2025;14(9):3078 View
  16. Bracey S, Bhuiyan N, Pietropaolo A, Somani B. Exploring the impact of artificial intelligence–enabled decision aids in improving patient inclusivity, empowerment, and education in urology: a systematic review by EAU endourology. Current Opinion in Urology 2025 View
  17. Luo Z, Kam S, Kim J, Hu W, Lin C, Park H, Shin Y. Does the Quality and Readability of Information Related to Varicocele Obtained from ChatGPT 4.0 Remain Consistent Across Different Models of Inquiry?. The World Journal of Men's Health 2025;43 View
  18. Krauss D, Fuchs H, Schaaf S, Drossard S, Rösch R, Blank B, Bruns C, Rolle U, Schmitz-Rixen T, Kröplin J. Ist der Einsatz digitaler Technologien der Gamechanger für die chirurgische Weiterbildung der Zukunft? Eine deutschlandweite Analyse. Die Chirurgie 2025 View
  19. Dastani M, Mardaneh J, Rostamian M. Large language models’ capabilities in responding to tuberculosis medical questions: testing ChatGPT, Gemini, and Copilot. Scientific Reports 2025;15(1) View
  20. Dehelean D, Maier S, Altay-Langguth A, Nitschmann A, Schmeling M, Fleischmann D, Rogowski P, Trapp C, Corradini S, Belka C, Schönecker S, Marschner S. Evaluating large language models as an educational tool for meningioma patients: patient and clinician perspectives. Radiation Oncology 2025;20(1) View