Monday Lunch Live
29 September 2025 (Video recording below)
AI application in advancing prediction, early detection and non-invasive imaging techniques in oral cancer
This talk explores how machine learning, computer vision, and novel in vivo imaging tools are reshaping the landscape of oral cancer diagnosis. Traditional approaches rely on static biopsy samples and subjective clinical interpretation, but advances in digital photography, and confocal microscopy now allow us to screen for diseases in real time. By applying deep learning algorithms to diagnostic imaging, we can detect subtle tissue changes that precede malignancy, opening new possibilities for earlier and more accurate detection.
Beyond the lab, these innovations align with a growing need for equitable access through telehealth. DSLR-based imaging, combined with intelligent diagnostic software, enables remote specialist consultation and risk-based screening across underserved regions. The convergence of continuous data modelling, computer vision, and telehealth platforms holds the promise of transforming oral cancer detection, from a reactive process to a proactive, accessible, and intelligent system of care.
Chair
Dr Sophie Beaumont
Manager Dental Oncology,
Peter MacCallum Cancer Centre
Sophie is a dental practitioner and the current head of the dental oncology department at Peter Mac. She has worked extensively in the public healthcare sector for most of her career, and is passionate about delivering equitable, high quality dental and oral healthcare to all our Peter Mac patients.
Speakers
Dr Tami Yap
Senior Lecturer, Melbourne Dental School, the University of Melbourne
Dr Tami Yap is the Lead for Impact and Engagement and Co-Lab Head of the Oral Medicine & Oral Cancer Group at the Melbourne Dental School. Her translative research focus is on early detection of oral cancer and oral mucosal disease. She is an Australian registered Oral Medicine Specialist, a fellow of the Royal Australasian College of Dental Surgeons and Pierre Fauchard Academy. Tami has appointments at the Royal Melbourne Hospital, the Royal Dental Hospital of Melbourne, the Alfred Hospital and the Skin and Cancer Foundation of Victoria, Australia.
Dr Rishi Ramani
Research assistant & PhD candidate, Melbourne Dental School, the University of Melbourne
Dr Rishi Ramani is a dentist and data science researcher specialising in oral medicine, biomedical image analysis, and artificial intelligence. A PhD candidate at the University of Melbourne, his work applies deep learning and in vivo confocal microscopy to improve early detection of oral potentially malignant disorders and oral cancer. He is a Research Assistant at the Melbourne Dental School, Associate Editor for the Journal of Oral Pathology and Medicine and co-leads a project within the ITU–WHO–WIPO Global Initiative on AI for Health, shaping international guidelines on dental AI.
Resource details
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