
Little is known about the efficacy of using artificial intelligence to identify laryngeal carcinoma from images of vocal lesions taken in different hospitals with multiple laryngoscope systems. This multicenter study aimed to establish an artificial intelligence system and provide a reliable auxiliary tool to screen for laryngeal carcinoma. This was a multicenter case‐control study in which laryngoscopy images were collected from 2179 patients with vocal fold lesions. An automatic detection system of laryngeal carcinoma was established and used to distinguish malignant and benign vocal lesions in 2179 laryngoscopy images acquired from 6 hospitals with 5 types of laryngoscopy systems. Pathological examination was the gold standard for identifying malignant and benign vocal lesions. The study findings showed that an automatic diagnostic system has the potential to assist clinical laryngeal carcinoma diagnosis, which may improve and standardize the diagnostic capacity of laryngologists using different laryngoscopes.
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