A portable non-contact tongue imaging system with automated analysis for community and home settings
By
Jiehan Wei
Jun Song
Weiliang Lu
Shaoyang Men
Chuangquan Lin
Peipei Zhou
June 24, 2026
Clinical Scorecard: A mobile non-invasive tongue imaging device with automated evaluation for use in community and domestic environments
At a Glance
Category Detail
Condition Fissured Tongue Key Mechanisms Automated tongue image analysis using deep learning techniques. Target Population Individuals seeking preventive health assessment in community and home settings. Care Setting Community and domestic environments.
Key Highlights
Fissured tongue is associated with internal conditions and may indicate gastrointestinal precancerous lesions. Traditional tongue inspection relies on subjective judgment, limiting diagnostic reliability. Portable digital health approaches can enhance access to tongue assessment. Deep learning methods improve tongue image segmentation performance. Hybrid architectures combining CNNs with KANs may enhance feature recognition. Guideline-Based Recommendations
Diagnosis
Automated assessment of tongue morphology can improve diagnostic accuracy. Management
Utilize portable imaging devices for community-based tongue assessments. Monitoring & Follow-up
Regular monitoring of tongue features can aid in preventive healthcare. Risks
Environmental variations may affect image quality and analysis. Patient & Prescribing Data
Individuals with interest in preventive health and tongue diagnostics.
Automated tools can facilitate easier access to tongue assessments.
Clinical Best Practices
Implement automated tongue analysis in community health settings. Train practitioners on the use of mobile imaging devices for tongue assessment. Related Resources & Content
