Artificial intelligence-assisted enhancement of diagnostic accuracy and efficiency in detecting cervical lymph node metastases in oral squamous cell carcinoma
The AI-assisted tool improved diagnostic accuracy and efficiency in detecting cervical lymph node metastases in oral SCC. It may serve as a preliminary screening tool and a valuable educational aid for training junior pathologists, underscoring its potential for broader application in digital pathology.
Authors
- Yuk-Kwan Chen (ORCID: https://orcid.org/0000-0001-6800-273X)
- Wenchen Wang (ORCID: https://orcid.org/0000-0002-4221-9612)
- Changwei Su (ORCID: https://orcid.org/0000-0003-0435-6293)
- Chih‐Huang Tseng (ORCID: https://orcid.org/0000-0001-8693-9200)
- Hao-Tang Wang
- Yu‐Hsun Kao (ORCID: https://orcid.org/0000-0001-8687-5091)
- Wen‐Yuan Lin (ORCID: https://orcid.org/0000-0002-5220-5759)
- Ching‐Yi Chen (ORCID: https://orcid.org/0000-0002-1978-6424)
- Yu‐Min Lin (ORCID: https://orcid.org/0009-0005-1723-828X)
Institutions
- Kaohsiung Medical University (TW)
- Kaohsiung Medical University Chung-Ho Memorial Hospital (TW)
Publication Details
- Journal
- Journal of Dental Sciences
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1016/j.jds.2025.07.026
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00