By Jeremy Chan!
Hi everyone! My name is Jeremy Chan, and I am currently a third-year student in the Doctor of Medicine program at the University of Sydney with a special interest in Dermatology. During my free time, I enjoy playing and competing in badminton.
This semester I am working on a research project on artificial intelligence (AI) analysis of early melanoma dermoscopic images under the supervision of Dr Ali Azimi, Professor Fernández-Peñas, and Associate Professor Jinman Kim.
Australia has one of the highest rates of melanoma in the world which makes early detection of melanoma critical for reducing patient morbidity and mortality. Dermoscopy plays a key role in the diagnosis of melanoma, but the process of visual interpretation can be subjective, error-prone, and non-reproducible. Sequential digital dermoscopic imaging (SDDI) is a technique that allows storage and retrieval of dermoscopic images. SDDI offers a time-lapse comparative analysis of cutaneous pigmented lesions at different time intervals and has been proven to lead to earlier melanoma detection. This project aims to explore whether if AI analysis of SDDI can distinguish between lesions obtained from patients with invasive melanoma and those from patients with benign pigmented lesions. The project also aims to explore whether if AI can improve the early detection of melanoma compared to dermatologists.
I am excited to participate in this project and I look forward to working with the department.