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

mHealth in a Clinical Setting (579) mHealth for Diagnosis (48) Clinical Informatics (904) Clinical Information and Decision Making (1314) Decision Support for Health Professionals (1127) mHealth for Screening (190) Quality Improvement (223) Methods and Instruments in Medical Informatics (101)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49995, first published .
Comparison of Diagnostic and Triage Accuracy of Ada Health and WebMD Symptom Checkers, ChatGPT, and Physicians for Patients in an Emergency Department: Clinical Data Analysis Study

Comparison of Diagnostic and Triage Accuracy of Ada Health and WebMD Symptom Checkers, ChatGPT, and Physicians for Patients in an Emergency Department: Clinical Data Analysis Study

Comparison of Diagnostic and Triage Accuracy of Ada Health and WebMD Symptom Checkers, ChatGPT, and Physicians for Patients in an Emergency Department: Clinical Data Analysis Study

Authors of this article:

Hamish Fraser1, 2 Author Orcid Image ;   Daven Crossland1, 3 Author Orcid Image ;   Ian Bacher1 Author Orcid Image ;   Megan Ranney4 Author Orcid Image ;   Tracy Madsen3, 5 Author Orcid Image ;   Ross Hilliard6 Author Orcid Image
Article Authors Cited by (12) Tweetations (2) Metrics

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  1. Infante A, Gaudino S, Orsini F, Del Ciello A, Gullì C, Merlino B, Natale L, Iezzi R, Sala E. Large language models (LLMs) in the evaluation of emergency radiology reports: performance of ChatGPT-4, Perplexity, and Bard. Clinical Radiology 2024;79(2):102 View
  2. Ćirković A, Katz T. Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study. JMIR Formative Research 2023;7:e51798 View
  3. Sallam M, Barakat M, Sallam M. A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review. Interactive Journal of Medical Research 2024;13:e54704 View
  4. Reis F, Lenz C. Performance of Artificial Intelligence (AI)-Powered Chatbots in the Assessment of Medical Case Reports: Qualitative Insights From Simulated Scenarios. Cureus 2024 View
  5. Wang L, Chen X, Deng X, Wen H, You M, Liu W, Li Q, Li J. Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs. npj Digital Medicine 2024;7(1) View
  6. Xue Z, Zhang Y, Gan W, Wang H, She G, Zheng X. Quality and Dependability of ChatGPT and DingXiangYuan Forums for Remote Orthopedic Consultations: Comparative Analysis. Journal of Medical Internet Research 2024;26:e50882 View
  7. Jindal A, Brandao-de-Resende C, Neo Y, Melo M, Day A. Enhancing Ophthalmic Triage: identification of new clinical features to support healthcare professionals in triage. Eye 2024 View
  8. Sheikh M, Barreto E, Miao J, Thongprayoon C, Gregoire J, Dreesman B, Erickson S, Craici I, Cheungpasitporn W. Evaluating ChatGPT's efficacy in assessing the safety of non-prescription medications and supplements in patients with kidney disease. DIGITAL HEALTH 2024;10 View
  9. Frosolini A, Catarzi L, Benedetti S, Latini L, Chisci G, Franz L, Gennaro P, Gabriele G. The Role of Large Language Models (LLMs) in Providing Triage for Maxillofacial Trauma Cases: A Preliminary Study. Diagnostics 2024;14(8):839 View
  10. Andreadis K, Newman D, Twan C, Shunk A, Mann D, Stevens E. Mixed methods assessment of the influence of demographics on medical advice of ChatGPT. Journal of the American Medical Informatics Association 2024 View
  11. Harada Y, Sakamoto T, Sugimoto S, Shimizu T. Longitudinal Changes in Diagnostic Accuracy of a Differential Diagnosis List Developed by an AI-Based Symptom Checker: Retrospective Observational Study. JMIR Formative Research 2024;8:e53985 View
  12. Pressman S, Borna S, Gomez-Cabello C, Haider S, Forte A. AI in Hand Surgery: Assessing Large Language Models in the Classification and Management of Hand Injuries. Journal of Clinical Medicine 2024;13(10):2832 View