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

Formative Evaluation of Digital Health Interventions (3453) Clinical Informatics in Low-Resource Settings and the Developing World (131) Methods in Cancer Research (61) Innovations in Cancer Diagnostic and Decision Support (121) Cancer Prognosis Models and Machine Learning (80) Clinical Information and Decision Making (2070) Artificial Intelligence (2349) Innovations and Technology in Cancer Care (569)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66110, first published .
Use of a Preliminary Artificial Intelligence-Based Laryngeal Cancer Screening Framework for Low-Resource Settings: Development and Validation Study

Use of a Preliminary Artificial Intelligence-Based Laryngeal Cancer Screening Framework for Low-Resource Settings: Development and Validation Study

Use of a Preliminary Artificial Intelligence-Based Laryngeal Cancer Screening Framework for Low-Resource Settings: Development and Validation Study

Authors of this article:

Shao Wei Sean Lam1 Author Orcid Image ;   Min Hun Lee2 Author Orcid Image ;   Michael Dorosan1 Author Orcid Image ;   Samuel Altonji3 Author Orcid Image ;   Hiang Khoon Tan4, 5 Author Orcid Image ;   Walter T Lee3 Author Orcid Image
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Journals

  1. Dorosan M, Chen Y, He Y, Zhuang Q, Lam S. In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems Based on Care Pathway Simulation Models: Scoping Review. JMIR AI 2026;5:e72472 View