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

Ontologies, Classifications, and Coding (344) Clinical Informatics (1417) Advanced Data Analytics in eHealth (231) Imaging Informatics (322) Standards and Interoperability (153) Clinical Information and Decision Making (2043) Skin Cancer and Melanoma Prevention (127) Artificial Intelligence (2310)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49613, first published .
Dermoscopy Differential Diagnosis Explorer (D3X) Ontology to Aggregate and Link Dermoscopic Patterns to Differential Diagnoses: Development and Usability Study

Dermoscopy Differential Diagnosis Explorer (D3X) Ontology to Aggregate and Link Dermoscopic Patterns to Differential Diagnoses: Development and Usability Study

Dermoscopy Differential Diagnosis Explorer (D3X) Ontology to Aggregate and Link Dermoscopic Patterns to Differential Diagnoses: Development and Usability Study

Authors of this article:

Rebecca Z Lin1 Author Orcid Image ;   Muhammad Tuan Amith2, 3, 4 Author Orcid Image ;   Cynthia X Wang5 Author Orcid Image ;   John Strickley6 Author Orcid Image ;   Cui Tao7 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Zhou Y, Dong Y, Wang J, EL-Sayed Shakweer W, EL-Sayed Shakweer I, Hu Z, Li Q. A causality-invariant relation learning framework for geometry-driven zero-shot cross-modal retrieval of dermoscopic vascular patterns. Expert Systems with Applications 2026;315:131755 View