معرفی
Dilki Jayasinghe is a Postdoctoral Researcher at the Centre for Health Services Research, The University of Queensland. Their work focuses on melanoma diagnosis, medical imaging technologies, and applications of artificial intelligence in healthcare. They lead research projects involving 3D total-body photography for early melanoma detection and have contributed to studies analyzing the impact of the pandemic on cancer diagnosis patterns.
Research interests include dermatological risk assessment, automated lesion detection, and population health surveillance. Their interdisciplinary approach combines clinical data with advanced imaging and machine learning techniques to improve early cancer detection methods. Key projects include randomized clinical trials evaluating 3D photography efficacy and systematic reviews of nevus-counting methodologies.
Publications highlight innovations in automated skin surface phenotyping, BMI estimation from 3D imagery, and statistical modeling of naevus distribution. This work bridges clinical practice with technological advancements, aiming to enhance diagnostic accuracy and reduce melanoma mortality rates. No scientific awards are listed, but their contributions to melanoma imaging research are recognized through collaborative projects with the Australian Centre of Excellence in Melanoma Imaging & Diagnosis (ACEMID).
Grant-funded research includes ACEMID initiatives and a 2021 study on melanoma risk factors using 3D photography. Advising activities are not explicitly documented, though their work involves supervising research teams in imaging and data analysis projects. Laboratory affiliations include the Centre for Health Services Research facilities at UQ, focusing on translational medical imaging research.
