Intelligent diagnosis of vocal cord lesions via multimodal deep learning: integrating laryngoscopy, voice, and biomarkers
Accurate pre‑operative diagnosis of vocal cord lesions remains challenging. We developed a multimodal deep learning model that integrates laryngoscopic images, voice recordings, and biochemical markers to improve diagnostic accuracy. In this retrospective study (2020–2025), a total of 425 patients were enr...