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Title: Mechanised triage: A pilot study investigating the role of machine learning to triage penile lesions.
Epworth Authors: Murphy, Declan
Lawrentschuk, Nathan
Other Authors: O'Brien, Jonathan
Nandakishor, Kishor
Chen, Kenneth
Teh, Jiasian
Kelly, Brian
Manning, Todd
Sathianathen, Niranjan
Chee, Justin
Palaniswami, Marimuthu
Keywords: Penile Squamous Cell Carcinoma
Psychosocial Consequences
Social Stigma
Culturally Appropriate Care
Machine Learning
Smartphone Photography
Artificial Intelligence Algorithm
Issue Date: Oct-2023
Conference Name: Epworth HealthCare Research Month 2023
Conference Location: Epworth Research Institute, Victoria, Australia
Abstract: Penile squamous cell carcinoma (PSCC) is a rare disease with devastating psychosocial consequences. Early recognition and treatment are paramount to preserving function and long-term survival. However, many men present with advanced disease due to a lack of awareness, social stigma, and limited access to culturally appropriate care. There is an urgent need to reduce barriers to subspecialist penile cancer care, especially for men from low socioeconomic backgrounds. Machine learning combined with smartphone photography has demonstrated growing utility by outperforming clinicians in diagnosing skin cancer. This project aims to evaluate the accuracy of an artificial intelligence algorithm for stratifying penile lesions.
Type: Conference Poster
Affiliated Organisations: Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
Deartment of Urology, The Royal Melbourne Hospital, Melbourne, Victoria Australia
Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
Department of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Victoria, Australia
Type of Clinical Study or Trial: Pilot Study
Appears in Collections:Research Month

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