Tongue Image–Based Diagnosis of Acute Respiratory Tract Infection Using Machine Learning: Algorithm Development and Validation
Our findings demonstrate the potential of tongue diagnosis in identifying pathogens responsible for acute respiratory tract infections at the time of admission. This approach holds significant clinical implications, offering the potential to reduce clinician workloads while improving diagnostic accuracy and the overall quality of medical care.
Authors
- Qianzi Che (ORCID: https://orcid.org/0000-0002-8688-6628)
- Zhongxia Wang (ORCID: https://orcid.org/0000-0001-6371-1406)
- Wei Yang
- Yuanming Leng
- Xuequan Cao (ORCID: https://orcid.org/0000-0002-6554-2041)
- Ruilin Wang (ORCID: https://orcid.org/0000-0003-4459-4659)
Institutions
- Boston University (US)
- Central South University (CN)
- Beijing University of Chinese Medicine (CN)
- Fudan University (CN)
- Chinese PLA General Hospital (CN)
- Institute of Applied Technology (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-06-24
- DOI
- https://doi.org/10.2196/74102
- Citations
- 1
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.38