Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58831, first published .
“Doctor ChatGPT, Can You Help Me?” The Patient’s Perspective: Cross-Sectional Study

“Doctor ChatGPT, Can You Help Me?” The Patient’s Perspective: Cross-Sectional Study

“Doctor ChatGPT, Can You Help Me?” The Patient’s Perspective: Cross-Sectional Study

Journals

  1. Raquepo T, Tobin M, Gettings M, Yamin M, Lee B, Cauley R. A multimetric health literacy analysis of phalloplasty techniques: Comparing artificial intelligence and online resources. Journal of Plastic, Reconstructive & Aesthetic Surgery 2025;100:166 View
  2. Van Kolfschooten H. Technical comment on: Nehme M, et al. Chatbots in medicine: certification process and applied use case. Swiss Medical Weekly 2025;155(2):4359 View
  3. Srivastava P, Tewari A, Al‐Riyami A. Artificial intelligence chatbots in transfusion medicine: A cross‐sectional study. Vox Sanguinis 2025 View
  4. 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;9(4):1365 View
  5. Chen D, Parsa R, Swanson K, Nunez J, Critch A, Bitterman D, Liu F, Raman S. Large language models in oncology: a review. BMJ Oncology 2025;4(1):e000759 View
  6. Chen J, Ge X, Yuan C, Chen Y, Li X, Zhang X, Chen S, Zheng W, Miao C. Comparing orthodontic pre-treatment information provided by large language models. BMC Oral Health 2025;25(1) View
  7. Eminovic S, Levita B, Dell’Orco A, Leppig J, Nawabi J, Penzkofer T. Comparison of Multiple State-of-the-Art Large Language Models for Patient Education Prior to CT and MRI Examinations. Journal of Personalized Medicine 2025;15(6):235 View
  8. Alluri A, Gupta A, Adsure M, Hameed F, Pawar A, Kumar S. Comparative evaluation of ChatGPT and Google Gemini in creating patient education guides for tachyarrhythmias: a cross-sectional study. Journal of Public Health 2025 View
  9. Douma H, McNamara C, Bakola M, Stuckler D. Leveraging ChatGPT to strengthen pediatric healthcare systems: a systematic review. European Journal of Pediatrics 2025;184(8) View
  10. AlSamhori J, Alkafaween A, Al-Badawi A, Alhabashneh Z, Alelaumi A, Haddad B, Nashwan A. The role of ChatGPT in improving orthopedic Patient education in low-resource settings across various orthopedic specialties. The Journal of Precision Medicine: Health and Disease 2025;3:100017 View
  11. Atahan M, Üner Ç, Aydemir M, Uzun M, Yalın M, Gölgelioğlu F. Is Readability a Proxy for Reliability? A Qualitative Evaluation of ChatGPT‐4.0 in Orthopaedic Trauma Communication. Journal of Evaluation in Clinical Practice 2025;31(5) View
  12. Singla R, Lodhi S, Kibret T, Jegatheswaran J, Glavinovic T, Massicotte‐Azarniouch D, Karpinski J, Powell R, Burns K, Sood M, Bugeja A. Accuracy, Clarity, and Comprehensiveness of ChatGPT Outputs for Commonly Asked Questions About Living Kidney Donation. Clinical Transplantation 2025;39(9) View
  13. Strachna O, Asan O. Current Applications, Research Gaps, and Future Perspectives in Design of Resilient Patient-Facing Generative AI Applications: A Rapid Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025;69(1):1210 View
  14. Pérez Martínez D. Proposal for Responsible Use of Generative Artificial Intelligence in Medical Practice. Revista de Neurología 2025;80(7) View
  15. Park C, An M, Hwang G, Park R, An J. Author’s Reply: "Data Contamination in AI Evaluation". JMIR Medical Informatics 2025;13:e82057 View
  16. Jeon S, Lee S, Kim E, Eun J, Lee K, Lim H, Lee J. Generative AI Chatbot for Diabetes Management: Formative 2-Part Qualitative Study Using DTalksBot Involving Patients and Clinicians. JMIR Formative Research 2025;9:e72553 View
  17. Wang D, Ye J, Li J, Liang J, Zhang Q, Hu Q, Pan C, Wang D, Liu Z, Shi W, Guo M, Li F, Zheng Y. Med-RISE - Enhancing Large Language Models for Improved Accuracy and Safety in Medical Question-Answering: Comparative Study (Preprint). JMIR Medical Education 2024 View
  18. Baş Aksu Ö, Aydın R, Gökçay Canpolat A, Demir Ö, Şahin M, Emral R, Güllü S. Artificial intelligence in endocrine practice: comparing ChatGPT, Gemini, and Claude for adrenal incidentaloma care. Journal of Endocrinological Investigation 2025 View
  19. Di Pumpo M, Gualano M, Buonsenso D, Raffaelli F, Donà D, Maio V, Laurenti P, Ricciardi W, Villani L. Large language models as information providers for appropriate antimicrobial use: computational text analysis and expert-rated comparison of ChatGPT, Claude and Gemini. BMJ Health & Care Informatics 2025;32(1):e101632 View
  20. Hati̇poğlu Ş, Çifçi Özkan E, Konca Taşova F, Özdal Zi̇nci̇r Ö. What artificial intelligence (AI) can tell us about Nasoalveolar Molding (NAM)?. BMC Oral Health 2025;25(1) View
  21. Levita B, Eminovic S, Lüdemann W, Schnapauff D, Schmidt R, Haack A, Dell’Orco A, Nawabi J, Penzkofer T. Large language models for patient education prior to interventional radiology procedures: a comparative study. CVIR Endovascular 2025;8(1) View
  22. Howcroft A, Bennett-Weston A, Khan A, Griffiths J, Gay S, Howick J. AI chatbots versus human healthcare professionals: a systematic review and meta-analysis of empathy in patient care. British Medical Bulletin 2025;156(1) View
  23. Hack S, Gvili B, Tessler I, Yogev D, Wolfowitz A, Rozendorn N. Can Chatbots Please Both Patients and Experts? Benchmarking AI and Clinical Guidelines for Hearing Loss. Otology & Neurotology 2025 View
  24. Mina A, Ghadban E, Boutros T, Saade N, Fayad L, Karam M, Breidi S, Elias M, Ghosh M, Khoury L, Naassan N, Khoury R. AI chatbots as ‘pocket doctors’: intimate health support for young women in Lebanon. BMC Public Health 2025;25(1) View
  25. Punnen T, Shan K, Patel M, McCreary M, Tran D, Santoyo J, Burgess K, Moog T, Smith A, Okuda D. Diagnostic accuracy and bias in open access and subscription-based large language models for multiple sclerosis and neuromyelitis optica spectrum disorder. Intelligence-Based Medicine 2025;12:100314 View
  26. Hack S, Attal R, Yogev D, Alsleibi S, Gvili B, Shahal D, Glikson E. Evaluating large language models for specialist referral triage in primary care: a quantitative study using otolaryngology scenarios. Family Practice 2025;42(6) View
  27. Akcaalan S, Şahbat Y, Loddo G, Erden T, Kocaoglu B. ChatGPT provides high‐quality answers to FAQs about high tibial osteotomy despite low inter‐rater agreement. Journal of Experimental Orthopaedics 2025;12(4) View
  28. Hack S, Alsleibi S, Shemesh S, Nakache G. AI meets sleep surgery: assessing drug-induced sleep endoscopy interpretation with a large language model. SLEEPJ 2025 View