An observational study in Oral Cancer and Oropharyngeal Cancer, sponsored by Yudong Xiao. Completed at 1 site in China. Open to participants aged 18 Years to 85 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-01-16.
Sponsored by Yudong Xiao · Observational
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.
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.
377 studies on the registry are indexed under Mouth Neoplasms; 126 are open to participants now.
This study's enrollment of 501 is above the median of 90 across 103 observational studies indexed under Mouth Neoplasms.
Browse Mouth Neoplasms studies →This is the only study on the registry with Yudong Xiao as lead sponsor.
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In-patient participants diagnosed with oral cancer, oropharyngeal cancer or oral potentially malignant lesion and healthy volunteers.
Exclusion Criteria:
Speakers with oral potentially malignant lesions or healthy status
Patients diagnosed with oral cancer or oropharyngeal cancer
AUC value
Area under the receiver operating characteristic curve (AUC) for discriminating OC/OPC from healthy controls
Time frame: From enrollment to the report of surgical pathology，up to two weeks.
Plan to share: Yes — Raw audio files and corresponding metadata files for this study are uploaded and shared. The underlying code for this study, including PRAAT scripts for speech preprocessing and automatic feature extraction, and python codes for speech omics representation, can be accessed.
Supporting information: Analytic code
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This study is completed, as verified in Jan 2026. You cannot join it, but the record below documents what was studied.
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