Dual-scale fusion vision transformer model for vocal cord leukoplakia risk stratification: A multicenter study
The proposed AI framework provides a clinically effective solution for reliable VCL risk stratification and reduces diagnostic variability between clinicians. Validated across multiple centers, this dual-scale ViT approach establishes a novel paradigm for laryngoscopic diagnosis and holds significant potential to standardize diagnostic workflows in resource-limited settings.
Authors
- Quan-Mao Zhang
- Mei-Ling Wang
- Yumeng Liu (ORCID: https://orcid.org/0009-0002-9609-8112)
- Yu-Da Zhao
- X G Ni
- Lizhou Dou
- Yan Ke
- Jian-Hui Wang
- Jie-Lin Huang
- Ji-Qing Zhu
- Li-Juan Li
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- National Cancer Center (US)
- People’s Hospital of Wenshan Prefecture (CN)
- Shanxi Provincial Cancer Hospital (CN)
- Cancer Hospital of Chinese Academy of Medical Sciences (CN)
Publication Details
- Journal
- American Journal of Otolaryngology
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1016/j.amjoto.2026.104789
- Primary Topic
- Voice and Speech Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00