Recent advancements in oral cancer detection have significantly improved diagnostic accuracy, early identification, and patient outcomes. Techniques such as autofluorescence imaging, tissue reflectance, salivary biomarkers, and artificial intelligence (AI)-powered tools offer non-invasive, sensitive, and specific diagnostic capabilities. Evidence supports the integration of these modalities into clinical practice, showing increased effectiveness in detecting early dysplastic changes and malignancies. Incorporating these technologies alongside conventional methods enhances diagnostic reliability and facilitates timely intervention, ultimately improving survival rates and quality of care for patients with oral cancer. Have an insightful session on recent advancements by Dr Amar Kumar Shaw on IIDR.
Course Features
- Lecture 1
- Quiz 1
- Duration 90 minutes
- Skill level All levels
- Language English
- Students 155
- Certificate Yes
- Assessments Yes
Requirements
- BDS MDS
Features
- oral cancer, oral pathology, lesions in the mouth, biopsy, staging cancers
Target audiences
- all dental practitioners