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

Generative Language Models Including ChatGPT (318) Artificial Intelligence (1404) Clinical Information and Decision Making (1423) Viewpoints and Perspectives (521) Quality/Credibility of eHealth Information and Trust Issues (542) Natural Language Processing (700) Chatbots and Conversational Agents (540) Artificial Intelligence (AI) in Medical Education (81) Student/Learners Perceptions and Experiences with Educational Technology (73)

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 (10) 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 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 2024 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 2024 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

Books/Policy Documents

  1. Musunuri R, Bhatt A. Improving Healthcare Quality and Patient Engagement. View