NCT07347899

Speech-based AI-driven Diagnostics and Rehabilitation for Oral and Oropharyngeal Cancer.

A Preliminary Study on the Phonetics of Resonance and Articulation Disorders Caused by Defects of the Oral and Maxillofacial Speech Organs and Speech Therapy

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 501 (actual)
• Sponsor: Yudong Xiao · Academic / Other
• Sex: All
• Age: 18 Years – 85 Years
• Healthy volunteers: Accepted

Summary

Participants diagnosed with oral cancer, oropharyngeal cancer, or oral potentially malignant lesions, as well as healthy controls, had their speech audio recordings collected for the development and validation of AI-driven models for diagnosis and prognosis prediction of oral cancer and oropharyngeal cancer.

Detailed description

Participants were instructed to articulate three sustained vowels (/a/, /i/, /u/) repeatedly at a moderate volume and pace, with three repetitions per vowel and each utterance lasting at least one second. We developed a neuromorphic computing framework that orthogonally decomposes acoustic features into ultra-dimensional omics representations, enabling the characterization of both localized lesions and systemic physiological conditions. The study collected a comprehensive spectrum of biological profiles, including sociodemographic characteristics, tumor metrics, oral function-related factors, patient-reported outcome measures (PROMs), immunoinflammatory indices, and general health status indicators, to thoroughly investigate the paralinguistic representations of transformed speech omics features. These features were then rigorously evaluated for their clinical efficacy across multiple diagnostic tasks, including screening, early detection, pathological diagnosis, disease staging, and risk factor identification.

Conditions

• Oral Cancer
• Oropharyngeal Cancer

Timeline

• Start date: 2017-07-17
• Primary completion: 2022-04-30
• Completion: 2022-12-31
• First posted: 2026-01-16
• Last updated: 2026-01-16

Locations

1 site across 1 country: China