Oral Tongue Lesion Detection Using TinyML on Embedded Devices

Explore oral tongue lesion detection using tinyML on embedded devices in this 34-minute talk by Dr. Mohammed Zubair from King Khalid University. Learn about Oral Cavity Cancer (OCC), its prevalence, and the importance of early detection. Discover how automating the initial screening process with trained TinyML models deployed on embedded devices or smartphones can effectively detect benign and premalignant oral tongue lesions. Understand the potential of this technology as a point-of-care diagnostic tool in remote healthcare clinics with limited access to specialized medical resources. The talk covers OCC statistics, manifestation sites, causes, and oral lesions, followed by a demonstration of the solution, performance metrics, and a discussion on democratizing AI. Gain insights into the dataset, traditional deep learning algorithms, and participate in a Q&A session to deepen your understanding of this innovative approach to oral health screening.