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Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/2301
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dc.contributor.authorLawrentschuk, Nathan-
dc.contributor.authorMurphy, Declan-
dc.contributor.authorJianliang, Liu-
dc.contributor.otherPalaniswami, Marimuthu-
dc.contributor.otherO'Brien, Jonathan-
dc.contributor.otherDesai, Nandakishor-
dc.contributor.otherChen, Kenneth-
dc.contributor.otherTeh, Jiasian-
dc.contributor.otherKelly, Brian-
dc.contributor.otherManning, Todd-
dc.contributor.otherBolton, Damien-
dc.contributor.otherChee, Justin-
dc.date.accessioned2024-08-06T02:23:20Z-
dc.date.available2024-08-06T02:23:20Z-
dc.date.issued2024-08-
dc.identifier.urihttp://hdl.handle.net/11434/2301-
dc.description.abstractPenile 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.en_US
dc.subjectCanceren_US
dc.subjectPenile Canceren_US
dc.subjectEarly Recognitionen_US
dc.subjectFunctionen_US
dc.subjectSurvivalen_US
dc.subjectAIen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectSmart Phoneen_US
dc.subjectStratificationen_US
dc.subjectLesionsen_US
dc.subjectE.J. Whitten Prostate Cancer Research Centre, Epworth Healthcare, Victoria, Australiaen_US
dc.titleSnap diagnosis: pilot study of AI-powered smartphone application for penile cancer detection from the comfort of your home.en_US
dc.typeConference Posteren_US
dc.description.affiliatesDepartment of Urology, The Royal Melbourne Hospital, Melbourne, VIC, Australia.en_US
dc.description.affiliatesDepartment of Surgery, The University of Melbourne, Melbourne, VIC, Australia.en_US
dc.description.affiliatesDepartment of Engineering, The University of Melbourne, Melbourne, VIC, Australia.en_US
dc.type.studyortrialPilot Studyen_US
dc.description.conferencenameEpworth Research Week 2024en_US
dc.description.conferencelocationEpworth Research Institute, Victoria, Australiaen_US
dc.type.contenttypeImageen_US
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