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

Early Results in Infodemiology and Infoveillance (104) Decision Support for Health Professionals (1539) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) Machine Learning (2076) Infodemiology and Infoveillance (1558) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44420, first published .
Patient Journey Toward a Diagnosis of Light Chain Amyloidosis in a National Sample: Cross-Sectional Web-Based Study

Patient Journey Toward a Diagnosis of Light Chain Amyloidosis in a National Sample: Cross-Sectional Web-Based Study

Patient Journey Toward a Diagnosis of Light Chain Amyloidosis in a National Sample: Cross-Sectional Web-Based Study

Authors of this article:

Xuelin Dou1 Author Orcid Image ;   Yang Liu1 Author Orcid Image ;   Aijun Liao2 Author Orcid Image ;   Yuping Zhong3 Author Orcid Image ;   Rong Fu4 Author Orcid Image ;   Lihong Liu5 Author Orcid Image ;   Canchan Cui6 Author Orcid Image ;   Xiaohong Wang7 Author Orcid Image ;   Jin Lu1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Lyons G, Thompson J, Lousada I, Catini J, Manwani R, Maurer M. Diagnostic pathways, cardiac manifestations and outcomes in light chain amyloidosis: analysis of a US claims database. Open Heart 2025;12(1):e003124 View
  2. Yu H, Chen T, Zhang X, Yang Y, Liu Q, Yang C, Shen K, Li H, Tang W, Zhong X, Shuai X, Yu X, Liao Y, Wang C, Zhu H, Wu Y. Performance of Large Language Models in Diagnosing Rare Hematologic Diseases and the Impact of Their Diagnostic Outputs on Physicians: Combined Retrospective and Prospective Study. Journal of Medical Internet Research 2025;27:e77334 View