Article

Intelligent Diagnosis of Vocal Cord Lesions via Multimodal Deep Learning:Integrating Laryngoscopy, Voice, and Biomarkers

2026-04-19

Abstract excerpt

<title>Abstract</title> <p>Background We developed an intelligent diagnostic model for vocal cord lesions by integrating multimodal clinical data—laryngoscopic images, voice recordings, and a biochemical indicator—within a deep learning framework. Methods In this retrospective study (2020–2024), data from 374 patients with vocal lesions were assembled into 1,973 aligned multimodal samples, each combining laryng...

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Literature Corpus work: 4c3724b8-8977-596f-afec-b87ddafada8f
DOI: 10.21203/rs.3.rs-9267602/v1

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