This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (526) Artificial Intelligence (1786) Clinical Information and Decision Making (1695) Viewpoints and Perspectives (577) Quality/Credibility of eHealth Information and Trust Issues (609) Natural Language Processing (812) Chatbots and Conversational Agents (648) Artificial Intelligence (AI) in Medical Education (129) Student/Learners Perceptions and Experiences with Educational Technology (93)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56764, first published .
Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals

Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals

Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Health Care Professionals

Authors of this article:

Avishek Choudhury1 Author Orcid Image ;   Zaira Chaudhry1 Author Orcid Image
Article Authors Cited by (34) Tweetations (5) Metrics

Journals

  1. Kaiser K, Hughes A, Yang A, Turk A, Mohanty S, Gonzalez A, Patzer R, Bilimoria K, Ellis R. Accuracy and consistency of publicly available Large Language Models as clinical decision support tools for the management of colon cancer. Journal of Surgical Oncology 2024;130(5):1104 View
  2. Pavuluri S, Sangal R, Sather J, Taylor R. Balancing act: the complex role of artificial intelligence in addressing burnout and healthcare workforce dynamics. BMJ Health & Care Informatics 2024;31(1):e101120 View
  3. Park K, Lipsitz S, Dominici L, Lynce F, Minami C, Nakhlis F, Waks A, Warren L, Eidman N, Frazier J, Hernandez L, Leslie C, Rafte S, Stroud D, Weissman J, King T, Mittendorf E. Generative artificial intelligence as a source of breast cancer information for patients: Proceed with caution. Cancer 2025;131(1) View
  4. Mirzaei T, Amini L, Esmaeilzadeh P. Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications. BMC Medical Informatics and Decision Making 2024;24(1) View
  5. Seth I, Lim B, Phan R, Xie Y, Kenney P, Bukret W, Thomsen J, Cuomo R, Ross R, Ng S, Rozen W. Perforator Selection with Computed Tomography Angiography for Unilateral Breast Reconstruction: A Clinical Multicentre Analysis. Medicina 2024;60(9):1500 View
  6. Can E, Uller W, Vogt K, Doppler M, Busch F, Bayerl N, Ellmann S, Kader A, Elkilany A, Makowski M, Bressem K, Adams L. Large Language Models for Simplified Interventional Radiology Reports: A Comparative Analysis. Academic Radiology 2025;32(2):888 View
  7. Hassan E, El-Ashry A. Leading with AI in critical care nursing: challenges, opportunities, and the human factor. BMC Nursing 2024;23(1) View
  8. Andrew A, Tizzard E. Large language models for improving cancer diagnosis and management in primary health care settings. Journal of Medicine, Surgery, and Public Health 2024;4:100157 View
  9. Hartman V, Zhang X, Poddar R, McCarty M, Fortenko A, Sholle E, Sharma R, Campion T, Steel P. Developing and Evaluating Large Language Model–Generated Emergency Medicine Handoff Notes. JAMA Network Open 2024;7(12):e2448723 View
  10. Anbumani S, Ahunbay E. Toward the Clinically Effective Evaluation of Artificial Intelligence–Generated Responses. JCO Clinical Cancer Informatics 2024;(8) View
  11. Li D, Liu S, Wang B, Yu C, Zheng P, Li W. Trustworthy AI for human-centric smart manufacturing: A survey. Journal of Manufacturing Systems 2025;78:308 View
  12. Yu S, Lee S, Hwang H. The ethics of using artificial intelligence in medical research. Kosin Medical Journal 2024;39(4):229 View
  13. Passerini A, Gema A, Minervini P, Sayin B, Tentori K. Fostering effective hybrid human-LLM reasoning and decision making. Frontiers in Artificial Intelligence 2025;7 View
  14. Gupta G, Singh A, Manikandan S, Ehtesham A. Digital Diagnostics: The Potential of Large Language Models in Recognizing Symptoms of Common Illnesses. AI 2025;6(1):13 View
  15. Alba C, Xue B, Abraham J, Kannampallil T, Lu C. The foundational capabilities of large language models in predicting postoperative risks using clinical notes. npj Digital Medicine 2025;8(1) View
  16. Wu H, Li M, Zhang L. Comparing physician and large language model responses to influenza patient questions in the online health community. International Journal of Medical Informatics 2025;197:105836 View
  17. Lo Bianco G, Cascella M, Li S, Day M, Kapural L, Robinson C, Sinagra E. Reliability, Accuracy, and Comprehensibility of AI-Based Responses to Common Patient Questions Regarding Spinal Cord Stimulation. Journal of Clinical Medicine 2025;14(5):1453 View
  18. Kaiser K, Hughes A, Yang A, Mohanty S, Maatman T, Gonzalez A, Patzer R, Bilimoria K, Ellis R. Use of large language models as clinical decision support tools for management pancreatic adenocarcinoma using National Comprehensive Cancer Network guidelines. Surgery 2025;182:109267 View
  19. Lo Bianco G, Robinson C, D’Angelo F, Cascella M, Natoli S, Sinagra E, Mercadante S, Drago F. Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment. Biomedicines 2025;13(3):636 View
  20. Choudhury A, Shahsavar Y, Shamszare H. User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study. JMIR Human Factors 2025;12:e72867 View
  21. de Oliveira A, Azevedo J, Ruback L, Moreira R, Teixeira S, Teles A. Effect of Explainable Artificial Intelligence on Trust of Mental Health Professionals in an AI-Based System for Suicide Prevention. IEEE Access 2025;13:60987 View
  22. Topaz M, Peltonen L, Michalowski M, Pruinelli L, Ronquillo C, Zhang Z, Babic A. The Overlooked Dark Side of Generative AI in Nursing: An International Think Tank's Perspective. Journal of Nursing Scholarship 2025 View
  23. Alanazi M, Soh B, Samra H, Li A. The Influence of Artificial Intelligence Tools on Learning Outcomes in Computer Programming: A Systematic Review and Meta-Analysis. Computers 2025;14(5):185 View
  24. Pituxcoosuvarn M, Tanimura M, Murakami Y, White J. Enhancing EFL Speaking Skills with AI-Powered Word Guessing: A Comparison of Human and AI Partners. Information 2025;16(6):427 View
  25. Moreira A, Lago P, Heldal R, Betz S, Brooks I, Capilla R, Coroamă V, Duboc L, Fernandes J, Leifler O, Nguyen N, Oyedeji S, Penzenstadler B, Peters A, Porras J, Venters C. A Roadmap for Integrating Sustainability into Software Engineering Education. ACM Transactions on Software Engineering and Methodology 2025;34(5):1 View
  26. Hoheisel A, Hanke R. Wie Digitalisierung und künstliche Intelligenz die Wissensvermittlung in der Medizin verändern. Zeitschrift für Pneumologie 2025 View
  27. 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
  28. Zeng L, Li Q, Zuo Y, Zhang Y, Li Z. Perceptions and attitudes of Chinese oncologists towards endorsing AI-driven chatbots for cancer patient health information seeking: A phenomenological qualitative study (Preprint). Journal of Medical Internet Research 2025 View
  29. Su H, Sun Y, Li R, Zhang A, Yang Y, Xiao F, Duan Z, Chen J, Hu Q, Yang T, Xu B, Zhang Q, Zhao J, Li Y, Li H. Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis. Journal of Medical Internet Research 2025;27:e72062 View

Books/Policy Documents

  1. Musunuri R, Bhatt A. Improving Healthcare Quality and Patient Engagement. View
  2. Lakshmaiah A, Korrapati C, Suresh C, Raghavan R. Spatially Variable Genes in Cancer. View
  3. Singh T, Mittal S, Tushir B, Kaur H, Agrawal C. Handbook of Concepts in Health, Health Behavior and Environmental Health. View

Conference Proceedings

  1. Anaissi A, Braytee A, Akram J. 2024 IEEE International Conference on Data Mining Workshops (ICDMW). Fine-Tuning LLMs for Reliable Medical Question-Answering Services View
  2. Sugan M, Nadkarni S, Sanaeipoor S, Patel S, Natarajamoorthy S, Rashidi E, Miller A. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Exploring Caregivers' Acceptance of Conversational AI in Pediatric Cancer Caregiving: A Mixed-Methods Study View