Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/2301
Title: Snap diagnosis: pilot study of AI-powered smartphone application for penile cancer detection from the comfort of your home.
Epworth Authors: Lawrentschuk, Nathan
Murphy, Declan
Jianliang, Liu
Other Authors: Palaniswami, Marimuthu
O'Brien, Jonathan
Desai, Nandakishor
Chen, Kenneth
Teh, Jiasian
Kelly, Brian
Manning, Todd
Bolton, Damien
Chee, Justin
Keywords: Cancer
Penile Cancer
Early Recognition
Function
Survival
AI
Artificial Intelligence
Smart Phone
Stratification
Lesions
E.J. Whitten Prostate Cancer Research Centre, Epworth Healthcare, Victoria, Australia
Issue Date: Aug-2024
Conference Name: Epworth Research Week 2024
Conference Location: Epworth Research Institute, Victoria, Australia
Abstract: Penile cancer is rare but sinister disease. 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 and social stigma. There is an urgent need to reduce barriers to subspecialist penile cancer care, especially for men from low socioeconomic backgrounds. AI (utilizing machine learning combined with enhanced smartphone photography analysis) has demonstrated growing utility by outperforming clinicians in diagnosing skin cancer. This pilot study aims to evaluate the accuracy of an artificial intelligence algorithm for stratifying penile lesions.
URI: http://hdl.handle.net/11434/2301
Type: Conference Poster
Affiliated Organisations: Department of Urology, The Royal Melbourne Hospital, Melbourne, VIC, Australia.
Department of Surgery, The University of Melbourne, Melbourne, VIC, Australia.
Department of Engineering, The University of Melbourne, Melbourne, VIC, Australia.
Type of Clinical Study or Trial: Pilot Study
Appears in Collections:Research Week

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