Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55001, first published .
Medical Expert Knowledge Meets AI to Enhance Symptom Checker Performance for Rare Disease Identification in Fabry Disease: Mixed Methods Study

Medical Expert Knowledge Meets AI to Enhance Symptom Checker Performance for Rare Disease Identification in Fabry Disease: Mixed Methods Study

Medical Expert Knowledge Meets AI to Enhance Symptom Checker Performance for Rare Disease Identification in Fabry Disease: Mixed Methods Study

Journals

  1. Pande S, Varzideh F, Gambardella J, Jankauskas S, Cerasuolo F, Spinelli L, Kansakar U, De Luca A, Kurland I, Sidoli S, Iaccarino G, Sadoshima J, Santulli G. Fabry disease cardiomyopathy: A state-of-the-art review. Progress in Cardiovascular Diseases 2025;92:43 View
  2. Al Saleh T, Qadeer Y, Yue B, Pieroni M, Hachem K, Poswar F, Giugliani R, Vardarli I, Wallace E, Krittanawong C. Fabry disease cardiomyopathy: A practical guide for cardiologists. Current Problems in Cardiology 2026;51(4):103266 View

Conference Proceedings

  1. Wu J, Mei X, He K, Xu J, Lin Q, Gao Z, Mao R. 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Neuro-Symbolic AI in Healthcare View